TW201938105A - Perspiration state determination device, control method and control program for perspiration state determination device - Google Patents

Abstract

Provided is a technology that enables a perspiration state determination device to appropriately determine a perspiration state of a user. The perspiration state determination device includes a control unit for continuously measuring the mental perspiration amount of the user based on the output value of a perspiration amount measuring electrode over a determination target period, and executing a perspiration state determination control that determines the mental perspiration state based on the comparison result between the measured mental perspiration amount and the determination threshold value. The control unit includes a memory unit for storing a perspiration amount minimum value prediction model and a perspiration amount maximum value prediction model, a prediction unit for respectively predicting the minimum value and the maximum value of the mental perspiration amount of the user during the determination target period based on the perspiration amount minimum value prediction model and the perspiration amount maximum value prediction model, and a setting unit for setting the determination threshold value within a range equal to or larger than the minimum prediction value during the determination target period and equal to or smaller than the maximum prediction value during the determination target period predicted by the prediction unit.

Description

Sweating state determining device, control method and control program of sweating state determining device

The invention relates to a sweating state determining device, a control method and a control program for the sweating state determining device.

Conventionally, it has been known that mental sweat such as pressure is exerted from the palm of the hand (palm), fingertips, or sole of the foot due to the action of sympathetic nerves. In connection with this, a sweating state determination device for determining a user's mental sweating state is known, and is used, for example, for the purpose of determining the degree of stress of the user or as a so-called polygraph.

[Prior technical literature] [Patent Literature]

Patent Document 1: International Publication No. 2011/096240

Patent Document 2: International Publication No. 2017/208650

Here, when using the sweating state determination device to determine the mental sweating state of the user in real time, the measured value obtained by continuously measuring the amount of mental sweating (for example, every predetermined sampling cycle) or the A method of comparing a value obtained by standardizing (normalizing, standardizing, etc.) the measured value with a predetermined threshold for determination, and determining a user's mental sweating state based on the magnitude relationship. However, the degree (how much) of mental sweating, or the fluctuation characteristics of mental sweating, which change when receiving a psychological stimulus such as stress, may vary greatly depending on individual differences. Therefore, originally, from the viewpoint of appropriately determining the user's mental sweating state, it is preferable to obtain a variation range (minimum) of the user's mental sweating amount during the entire period to be the subject of the determination of the mental sweating state. Value to the maximum value), and a threshold value for determination for determining the state of mental sweating is set in accordance with the variation range of the amount of mental sweating obtained for the user.

However, when a conventional sweating state determination device is used to determine the user's mental sweating state in real time, it is only possible to refer to the past measured amount of mental sweating, so it is impossible to grasp the determination of the mental sweating state. The range of change in the amount of mental sweat during the entire period of the subject. As a result, the threshold for determination of the user's mental sweating state cannot be set accurately, and there is a problem that it is difficult to appropriately determine the user's mental sweating state.

The present invention has been developed in view of the above-mentioned facts, and an object thereof is to provide a technique capable of appropriately determining a user's mental sweating state in a sweating state determining device.

In order to solve the above-mentioned problems, the sweating state determining device of the present invention includes: a sweating amount measuring electrode for measuring a user's mental sweating amount; and a control unit, based on the previous The output value of the sweat amount measurement electrode is used to continuously measure the user's mental sweat amount throughout a predetermined determination period, and the determination is performed based on a comparison result between the measured mental sweat amount and a threshold value for determination. The sweating state determination control of the user's mental sweating state; the control unit has a memory unit that stores a sweating volume minimum value prediction mode and a sweating maximum value prediction mode, and the sweating minimum value prediction mode is indicated more than the aforementioned judgment object Correlation between a change in the amount of mental sweat of a user who changes temporally over a predetermined period of time with a predetermined predictive characteristic amount measurement period and a minimum value of the amount of mental sweat of the user during the aforementioned determination target period And the maximum sweating amount prediction mode indicates the change in the amount of mental sweating of the user over time during the period of measurement of the characteristic amount for prediction, and the mental sweating of the user in the period of the determination target. The correlation between the maximum values of the quantities; the prediction unit The measured value of the divine sweat amount is used as the feature amount, and is applied to the aforementioned sweat amount minimum prediction mode and the aforementioned sweat amount maximum prediction mode, respectively, thereby predicting the user's mental sweat amount during the aforementioned determination target period, respectively. A minimum value and a maximum value; and a setting unit that predicts the minimum value of the user's mental sweating amount during the determination period predicted by the prediction unit, that is, the minimum predicted value or more and the user is in the determination period. The threshold value for determination is set within a range below the maximum value of the mental sweating amount, that is, the maximum predicted value.

In addition, the sweating amount minimum value prediction mode may be such that a transition of a measurement value of a user's mental sweating amount in the predictive characteristic amount measurement period when the sweating state determination control is performed in advance, and the judgment target period may be changed. In the user, the minimum value of the measured value of mental sweating corresponds to a plurality of minimum sweating amounts. The learning data is used as teacher data, and the mechanical characteristic learning using the teacher data is used to measure the aforementioned predictive feature amount. During the period A prediction model for learning the correlation between the transition of the user's mental sweating amount and the minimum value of the user's mental sweating amount during the aforementioned determination period, and the aforementioned sweating amount maximum value prediction model may be such that the aforementioned sweating is performed in advance At the time of the state determination control, the measured value of the user's mental sweat during the measurement period of the predictive characteristic amount measurement period is changed to a plurality of sweats corresponding to the maximum value of the user's mental sweat during the judgment period. The maximum amount of learning data is used as the teacher's data, and the mechanical sweating using the teacher's data is used to analyze the change in the amount of mental sweat of the user in the aforementioned predictive characteristic amount measurement period and the user in the aforementioned determination target period. The predictive model of the completion of the correlation of the maximum amount of mental sweating.

In addition, the prediction unit may also perform the prediction based on the minimum sweat amount prediction mode and the maximum sweat amount prediction stored in the memory unit at a point in time from the start of the main process to a time period during which the characteristic amount for prediction is measured. Mode, predicting the minimum predicted value and the maximum predicted value, respectively.

In addition, the control unit further includes a processing unit that uses the minimum predicted value and the maximum predicted value predicted based on the sweat amount minimum prediction mode and the sweat amount maximum prediction mode, respectively, to obtain the minimum predicted value. Is set to a first value and the maximum predicted value is set to a second value larger than the first value, and is determined after the time point from the start of the sweating state determination control to the time after the measurement of the prediction characteristic amount The measurement value of the measured perspiration amount of the measured user is subjected to scaling processing, and the setting unit may also set the threshold value for determination to a fixed value greater than or equal to the first value and less than or equal to the second value.

The present invention can be embodied as a control method of a sweating state determination device. That is, in the control method of the sweating state determining device of the present invention, the sweating state determining device includes: a sweating amount measuring electrode for measuring a user's mental sweating amount; and a control unit, based on the previous The output value of the sweat amount measurement electrode is used to continuously measure the user's mental sweat amount throughout a predetermined determination period, and the determination is performed based on a comparison result between the measured mental sweat amount and a threshold value for determination. The sweating state determination control of the user's mental sweating state; the aforementioned control unit has a memory unit that stores a minimum sweat amount prediction mode and a maximum sweat amount prediction mode, and the minimum sweat amount prediction mode is expressed in a ratio The change in the amount of mental sweat of a user with a chronological change during the predetermined prediction characteristic amount measurement period in which the determination target period is shorter is smaller than the minimum of the amount of mental sweat in the user during the determination period. The sweating maximum value prediction mode indicates the change in the amount of mental sweating of a user that changes with time during the period of measuring the characteristic value for prediction, and the user's Correlation between the maximum amount of mental sweating, and the control method of the sweating state determination device is based on the aforementioned prediction characteristics. The measurement value of the user's mental sweating amount measured during the measurement period is used as a characteristic amount, and is applied to the aforementioned sweating minimum value prediction mode and the aforementioned sweating maximum value prediction mode, respectively, thereby predicting the judgments respectively. The minimum and maximum values of the user's mental sweating during the target period, and the minimum value of the user's mental sweating during the aforementioned determination target period, that is, the minimum predicted value is above the minimum predicted value and the determination The threshold for determination is set within a range where the maximum amount of mental sweat of the user during the target period is less than the maximum predicted value.

Further, in the control method of the sweating state determination device, the control unit is based on the minimum sweating amount prediction mode and the sweating amount from a time point from the start of the sweating state determination control to a period during which the prediction characteristic amount measurement period has passed. The maximum prediction mode predicts the minimum predicted value and the maximum predicted value, respectively.

Further, in the control method of the sweating state determination device, the control unit uses the minimum predicted value and the maximum predicted value respectively predicted based on the sweat amount minimum prediction mode and the sweat amount maximum prediction mode to respectively set the minimum predicted value. Is set to a first value and the maximum predicted value is set to a second value larger than the first value, and is determined after the time point from the start of the sweating state determination control to the time after the measurement of the prediction characteristic amount The measured value of the measured perspiration amount of the user to be measured is scaled, and the threshold value for determination may be set to a fixed value greater than or equal to the first value and not greater than the second value.

Furthermore, the present invention is a control program that can be embodied as a sweating state determination device. That is, in the control program of the sweating state determining device of the present invention, the sweating state determining device includes: a sweating amount measuring electrode for measuring a user's mental sweating amount; and a control unit based on the sweating amount measuring electrode Output value of the user to continuously measure the user's mental sweating throughout the predetermined determination target period, and execute the determination of the user's mental sweating based on the comparison between the measured mental sweating amount and the determination threshold value. Sweating state judgment control of the state; the control unit has a memory unit that stores a minimum sweat amount prediction mode and a maximum sweat amount prediction mode, and the minimum sweat amount prediction mode is displayed in a shorter period than the determination target period The correlation between the change in the amount of mental sweat of the user with a chronological change during the predetermined prediction characteristic measurement period and the minimum value of the amount of mental sweat of the user during the aforementioned determination target period, and This sweating maximum value prediction mode indicates a user who changes over time during the aforementioned measurement of the characteristic amount for prediction. The correlation between the change in the amount of mental sweat and the maximum value of the user's mental sweat during the determination period, the control program causes the control unit to perform the following operations: The measured value of the amount of mental sweat of the user measured during the measurement period is used as a characteristic amount, and is applied to each of the aforementioned hairs. The minimum sweat amount prediction mode and the aforementioned maximum sweat amount prediction mode, thereby respectively predicting the minimum and maximum values of the user's mental sweat during the aforementioned determination period, and predicting the estimated period of time during the aforementioned determination period. The minimum value of the user's mental sweating amount, that is, the minimum predicted value is greater than the minimum predicted value, and the maximum value of the user's mental sweating amount during the determination target period, that is, the maximum predicted value or less is set within the range. Operation.

In addition, the control program of the sweating state determination device may cause the control unit to use the minimum sweating amount prediction mode and the sweating amount at a time point from the start of the sweating state determination control to the time period during which the prediction characteristic amount measurement period has passed. The maximum prediction mode predicts the minimum predicted value and the maximum predicted value, respectively.

In addition, the control program of the sweating state determination device may cause the control unit to use the minimum predicted value and the maximum predicted value respectively predicted based on the sweat amount minimum prediction mode and the sweat amount maximum prediction mode to predict the minimum prediction. The value is set to a first value and the maximum predicted value is set to a second value larger than the first value. From the time point after the start of the sweating state determination control to the time point after the measurement period of the characteristic amount for prediction is passed, The measured value of the measured perspiration of the user is scaled, and the threshold value for determination may be set to a fixed value greater than or equal to the first value and not greater than the second value.

Furthermore, the present invention may also be a computer-readable recording medium on which the control program of the sweating state determination device is recorded.

According to the present invention, it is possible to provide a technique capable of appropriately determining a user's mental sweating state in a sweating state determining device.

1,1A, 1B‧‧‧‧Sucker

10‧‧‧ Nozzle unit

11‧‧‧ Nozzle

12‧‧‧ Nozzle Block

12a‧‧‧below

13‧‧‧ wooden case

20‧‧‧Control unit

21‧‧‧Electronic substrate

22‧‧‧ substrate storage section

23‧‧‧ Power

24‧‧‧Fixed unit

24a‧‧‧above

25‧‧‧ exposed

26, 27‧‧‧ electrode for measuring perspiration

28‧‧‧ Screw

29‧‧‧ lock

30, 30A‧‧‧Control Department

31‧‧‧Pressure obtaining section

31A‧‧‧Pressure Detection Department

32‧‧‧Power switch unit

33‧‧‧Sweat measurement section

34‧‧‧Motor control unit

35‧‧‧Memory Department

36‧‧‧Setting Department

37‧‧‧Lighting Control Department

38‧‧‧Judgment Division

39‧‧‧ Timing Department

40‧‧‧Barometric sensor

41‧‧‧Vibration Motor

43‧‧‧Light-emitting element

44‧‧‧Pressure sensor

50‧‧‧ Forecasting Department

50‧‧‧massage machine

51‧‧‧Processing Department

51‧‧‧Back Massage Unit

52‧‧‧Seat

53‧‧‧foot support

54‧‧‧back

55‧‧‧Handrail

56‧‧‧Storage Bag

57‧‧‧ strap

60‧‧‧Remote control

61‧‧‧chassis

62‧‧‧Operation buttons

63‧‧‧LCD Monitor

70‧‧‧ Portable Inspection Terminal

70a‧‧‧The upper surface of the nail

70b‧‧‧ palm underside surface

70c‧‧‧Containment Department

72‧‧‧Control Box

73‧‧‧operation buttons

711‧‧‧m palm covering

712‧‧‧ Index finger covering

712a‧‧‧ Covered with forefinger

713‧‧‧ Middle finger covering

714‧‧‧ ring finger covering

714a‧‧‧finger finger covering

715‧‧‧ Little finger covering

111‧‧‧Cylinder

112‧‧‧Nozzle hole

121‧‧‧Mounting holes

122‧‧‧ engagement protrusion

122a‧‧‧Shaft

122b‧‧‧ Engagement Department

123‧‧‧ Recess for liquid holding

130‧‧‧ Containment space

131‧‧‧Screw hole

230‧‧‧ battery

231‧‧‧Battery storage section

231a‧‧‧Storage space

231b, 241‧‧‧ spring terminal

231c, 242‧‧‧ contact terminal

243‧‧‧Plug-in hole

244‧‧‧Opening for loading and unloading

244a‧‧‧Plug hole

244b‧‧‧Slide hole

351‧‧‧Minimum Sweat Forecast Model

352‧‧‧ Maximum Prediction Model

510‧‧‧Therapy

S30, S40, S50, S101, S102, S103, S104, S105, S201, S202, S203, S204, S205, S206, S207, S208, S209, S210, S211‧‧‧ steps

FIG. 1 is an external perspective view of a taster of the first embodiment.

Fig. 2 is an exploded perspective view of the taster of the first embodiment.

Fig. 3 is a front view of the taster of the first embodiment.

Fig. 4 is a side view of the taster of the first embodiment.

Fig. 5 is an explanatory diagram of a mounting structure of a nozzle unit and a wooden case of the taster of Embodiment 1;

FIG. 6 is an explanatory diagram of a mounting structure of a nozzle unit and a wooden case of the taster of the first embodiment.

Fig. 7 is a block diagram of a taster of the first embodiment.

FIG. 8 is a flowchart showing the startup processing flow of implementation type 1.

FIG. 9 is a flowchart showing the main processing flow of the implementation mode 1. FIG.

FIG. 10 is a flowchart showing a feedback processing flow of the implementation mode 1. FIG.

FIG. 11 is a time-lapse diagram schematically showing the amount of mental sweating when the control unit of the taster performs the pressure level analysis control.

Fig. 12 is a block diagram of a taster of the second embodiment.

FIG. 13 is a flowchart showing a startup process flow of implementation type 2.

FIG. 14 is a flowchart showing the main processing flow of the implementation type 2.

Fig. 15 is an explanatory diagram of a taster of a modification.

FIG. 16 is a block diagram of a taster of the third embodiment.

FIG. 17 is a graph showing the change in the amount of mental sweat of the user when the pressure level analysis control of the taster of the third embodiment is performed.

Fig. 18 is a diagram showing the processing contents of the main processing in the implementation mode 3.

FIG. 19 is a flowchart showing the processing contents of the sweat amount determination processing of the main processing of the implementation mode 3.

FIG. 20 is a graph showing the time lapse of the sweating measurement value that has been scaled when a plurality of users using a taster perform pressure level analysis control.

FIG. 21 is a graph showing the time lapse of the measured sweat amount when the correction is completed when a plurality of users using the sucker perform pressure level analysis control.

Fig. 22 is a diagram showing a massage machine according to a first modification of the third embodiment.

Fig. 23 is a schematic diagram of a remote controller according to a first modification of the third embodiment.

Fig. 24 is a block diagram of a remote controller according to a first modification of the third embodiment.

FIG. 25 is a diagram showing a state in which the user holds the remote controller of Modification 1 with both hands.

FIG. 26 is a schematic diagram of a portable inspection terminal according to a second modification of the implementation mode 3. FIG.

Fig. 27 is a schematic diagram of a portable inspection terminal according to a second modification of the third embodiment.

FIG. 28 is a schematic diagram showing the internal structure of an index finger covering portion and a ring finger covering portion in a portable inspection terminal according to a second modification of the implementation form 3. FIG.

FIG. 29 is a block diagram of a portable inspection terminal device according to a second modification of the implementation mode 3. FIG.

Here, an embodiment of the taster of the present invention will be described with reference to the drawings. If there is no specific record, the size, material, shape, and relative arrangement of the constituent elements described in this embodiment are not intended to limit the technical scope of the invention.

Implementation type 1

≪Suck and taste device≫

FIG. 1 is an external perspective view of the taster 1 according to the first embodiment. FIG. 2 is an exploded perspective view of the taster 1 of the embodiment 1. FIG. Fig. 3 is a front view of the taster 1 of the first embodiment. Fig. 4 is a side view of the taster 1 of the first embodiment. In FIGS. 3 and 4, a part of the internal structure of the taster 1 is shown by a dotted line.

The sucker 1 is a small portable sucker having a pressure checking function, which measures the degree of stress of the user by measuring the amount of mental sweat in the palm of the user. The sucker 1 includes a nozzle 11, a nozzle holder 12, a wooden case 13, and the like, and the external appearance is exhibited by these members. The materials of the nozzle 11 and the nozzle holder 12 are not particularly limited, but in this embodiment, they are made of resin.

The reference numeral 20 shown in FIG. 2 is a control unit that controls the entire taster 1. The control unit 20 includes a substrate accommodating portion 22, a power source 23, a fixing unit 24, and the like that house the electronic substrate 21 (the outline is shown by a broken line in FIG. 3). An exposed portion 25 is formed on a part of the surface of the substrate storage portion 22, and the exposed portion 25 is exposed to the outside in a state where the taster 1 is assembled. A pair of mental sweat measurement electrodes 26 and 27 are arranged on the exposed portion 25 in an up-and-down manner. The electrodes for measuring the amount of mental sweating 26 and 27 are electrodes for measuring the amount of mental sweating. The position, size, shape, and the like of the electronic substrate 21 stored in the substrate storage portion 22 in the storage space are not particularly limited.

The power source 23 includes a battery storage portion 231 that stores a battery 230. A storage space 231a for storing the battery 230 is formed inside the battery storage section 231, and the battery 230 can be inserted into and removed from the storage space 231a from an insertion opening formed in the upper portion of the substrate storage section 22. In this embodiment, the battery 230 is a dry battery, but is not limited thereto. For example, the battery 230 may be a lithium ion battery. also, In the control unit 20 of the present embodiment, the substrate storage section 22 and the power source 23 are integrally formed, but they may be individually configured. The power source 23 (battery 230) supplies power required for the operation of the taster 1.

The wooden case 13 includes a storage space 130 for accommodating the control unit 20 shown in FIG. 2 and the like. The fixing unit 24 is a member that fixes the control unit 20 to the wooden case 13 using screws 28 shown in FIG. 2. A lower surface of the fixing unit 24 is provided with a spring terminal 241 that is in contact with the negative electrode of the battery 230 and a contact terminal 242 that is in contact with the positive electrode of the battery 230 (see FIGS. 2 and 3, etc.). In addition, reference numeral 231b shown in FIG. 3 is a spring terminal provided on one side of the battery storage portion 231, and reference numeral 231c is a contact terminal provided on one side of the battery storage portion 231. The spring terminal 231b of the battery storage section 231 is provided in contact with the negative electrode of the battery 230 stored in the battery storage section 231, and the contact terminal 231c is provided in contact with the positive electrode of the battery 230 stored in the battery storage section 231. The spring terminal 231b and the contact terminal 231c of the battery storage section 231 are arranged at the bottom of the storage space 231a.

The fixing unit 24 is provided with a pair of insertion holes 243 through which the screws 28 are inserted. In a state where the screw 28 is inserted into the insertion hole 243, the screw 28 is locked into the screw hole 131 provided in the wooden case 13, and the control unit 20 can be fixed to the wooden case with the battery 230 crimped between the terminals. The receiving space 130 of the body 13. In addition, the fixing unit 24 is hollow inside, and a mounting opening 244 is formed on the upper surface of the fixing unit 24. The attaching and detaching opening 244 has a circular insertion hole 244 a and an elongated sliding hole 244 b that communicates with the insertion hole 244 a. The width dimension perpendicular to the extending direction of the slide hole 244b is designed to be smaller than the diameter of the insertion hole 244a.

In the sucker 1 of this embodiment, the nozzle unit 10 is formed in a state where the nozzle 11 is mounted on the nozzle holder 12, and the nozzle unit 10 can be freely attached to and detached from the wooden case 13. As shown in Figure 2 As shown, the nozzle holder 12 is a mounting hole 121 having a cylindrical body 111 provided at one end of the nozzle 11. Here, the inner diameter of the mounting hole 121 is slightly the same as the outer diameter of the cylindrical body 111. The cylindrical body 111 of the nozzle 11 is inserted into the mounting hole 121 of the nozzle holder 12, and the nozzle 11 is mounted on the nozzle holder 12 to form an integrated nozzle unit 10. A nozzle hole 112 is provided on the other end side of the nozzle 11. The nozzle hole 112 extends so as to penetrate the nozzle 11 in the axial direction. The wooden case 13 of the taster 1 is provided with an air vent (not shown), and an air duct (not shown) is formed inside the wooden case 13 to connect the air vent to the nozzle hole 112 of the nozzle unit 10 (nozzle 11). Icon).

5 and 6 are explanatory diagrams of a mounting structure of the nozzle unit 10 and the wooden case 13 of the taster 1 of the first embodiment. As shown in FIG. 5, on the lower surface 12 a side of the nozzle holder 12 of the nozzle unit 10, an engaging protrusion 122 is protruded downward. The engaging protrusion 122 includes a shaft portion 122 a protruding from the lower surface 12 a and an engaging portion 122 b provided at a distal end of the shaft portion 122 a. The engaging portion 122b of the engaging protrusion 122 has a disc shape having a diameter larger than that of the shaft portion 122a.

The engaging protrusion 122 of the nozzle unit 10 configured as described above is freely attachable and detachable to the attachment opening 244 provided in the fixing unit 24. More specifically, the diameter of the engaging portion 122 b of the engaging protrusion 122 is smaller than the inner diameter of the insertion hole 244 a of the attachment opening 244 of the fixing unit 24 and larger than the width dimension of the sliding hole 244 b. The diameter of the shaft portion 122a of the engaging projection 122 is smaller than the width of the sliding hole 244b.

When attaching the nozzle unit 10 to the wooden case 13, align the position of the engaging protrusion 122 of the nozzle unit 10 with the position of the insertion hole 244a of the fixing unit 24, and insert the engaging protrusion 122 into the insertion hole 244 a until the lower surface 12 a of the nozzle holder 12 abuts the upper surface 24 a of the fixing unit 24. After that, the shaft portion 122a of the engaging projection 122 is slid along the sliding hole 244b so that the lower surface 12a of the nozzle holder 12 contacts and slides on the upper surface 24a of the fixing unit 24. Then, when the shaft portion 122a of the engaging projection 122 slides to the end of the sliding hole 244b, for example, the locking portion 29 shown in FIG. 6 operates to engage the engaged portion (not shown) of the nozzle unit 10 The nozzle unit 10 is mounted on a wooden case 13. In this state, the engaging portion 122b of the engaging protrusion 122 is in a state of being located at an edge portion of the sliding hole 244b.

On the other hand, when the nozzle unit 10 is removed from the wooden case 13, the lock of the lock portion 29 is released, and the shaft portion 122a of the engagement protrusion 122 is directed toward the base end along the sliding hole 244b (and the insertion hole 244a). The end of the connected side) slides. Then, after the position of the engaging protrusion 122 is slid to the insertion hole 244 a, the engaging protrusion 122 is pulled out from the insertion hole 244 a, and the nozzle unit 10 can be removed from the wooden case 13.

FIG. 7 is a block diagram of the taster 1 of the first embodiment. The electronic substrate 21 of the taster 1 is provided with a control unit 30 as a control unit for controlling the taster 1. The control unit 30 may be, for example, a microcomputer including a processor, a memory, and the like. The control unit 30 is connected to the mental sweat amount measurement electrodes 26 and 27, the air pressure sensor 40, the vibration motor 41, the light-emitting element 43, and the power supply 23 via electrical wiring, and receives the mental sweat amount measurement electrodes 26 and 27. Input of an output signal output from the air pressure sensor 40.

The air pressure sensor 40 is provided inside the wooden case 13 and is a sensor that detects the air pressure in the wooden case 13. The air pressure sensor 40 is, for example, a condenser microphone sensor, and can output a voltage value indicating the capacitance of a capacitor, for example. The air pressure sensor 40 outputs the air introduced into the wooden case 13 from the vent hole (not shown) when the user sucks on the suction nozzle 11 and flows through the ventilation pipe toward the nozzle hole 112 of the suction nozzle 11 (not shown). The pressure inside the wooden case 13 changes as shown.

The vibration motor 41 is a motor that is driven (operated) by receiving power from the battery 230 of the power source 23. When the vibration motor 41 is driven, the wooden case 13 vibrates in accordance with the frequency of the vibration motor 41.

The light emitting element 43 is, for example, a light source such as an LED or an electric lamp. The light emitting element 43 is provided in, for example, a wooden case 13 in a state where a user can visually recognize light when emitting light. For example, the light-emitting element 43 may be provided in the wooden case 13, and the side surface opposite to the suction nozzle 11, so that the user can easily see the light-emitting state of the light-emitting element 43 during the suction operation of the suction nozzle 11. The light-emitting element 43 may emit light in a different light-emitting state corresponding to the state of the taster 1. The power system for operating the light emitting element 43 is supplied from the power source 23.

The mental sweating measurement electrodes 26 and 27 output a response value corresponding to skin conductance based on a resistance value when a weak sweating measurement current flows through the skin of a user's finger based on power supplied from the power source 23. In the taster 1 of the present embodiment, for example, when the user holds the wooden case 13, two positions where the index finger and the middle finger are intended to contact (that is, the positions where the index finger and the middle finger are respectively placed), a group of spirituality is arranged Sweat measurement electrodes 26 and 27. Thereby, while the user is holding the sucker 1, it is possible to maintain a state in which the mental sweat amount measuring electrodes 26 and 27 are in contact with the skin surface of the user's finger. However, the arrangement positions of the electrodes 26 and 27 for measuring the amount of mental sweating are not limited to the positions described above. For example, when the user holds the wooden case 13, it may be arranged at two places where two different areas (parts) of the palm of the user holding the wooden case 13 are intended to contact. For example, one set of electrodes 26 and 27 for measuring the amount of mental sweat may be arranged at two places corresponding to the palm of the user's palm and the thumb ball, and may also be arranged corresponding to the palm of the user's palm and any one of the fingers. Two places, or can be placed in the thumb ball with the palm of the user Two places with one finger. In addition, one set of electrodes for measuring the amount of mental sweating 26 and 27 may be disposed at two positions corresponding to two fingers other than the combination of the index finger and the middle finger of the user's palm.

As shown in FIG. 7, the control unit 30 includes an air pressure acquisition unit 31, a power switch unit 32, a sweat measurement unit 33, a motor control unit 34, a memory unit 35, a setting unit 36, a light emission control unit 37, a determination unit 38, The timing unit 39 and the like. The storage unit 35 is, for example, a non-volatile memory, and stores various programs executed by the processor of the control unit 30. The processor of the control unit 30 executes various programs stored in the memory unit 35 to perform stress level analysis control. The stress degree analysis control is a control for analyzing the degree of stress of the user by measuring the amount of mental sweat of the user who uses the taster 1.

The air pressure obtaining unit 31 obtains the air pressure in the wooden case 13 based on the output signal of the air pressure sensor 40. For example, the air pressure acquisition unit 31 detects a user's suction operation (suction operation) of the suction nozzle 11 (that is, detects a negative pressure) based on the obtained air pressure in the wooden case 13. For example, the air pressure acquisition unit 31 detects the sucking state (sucking section) of the suction nozzle 11 and the non-sucking state (non-sucking section) of the non-sucking nozzle 11. Thereby, the air pressure acquisition part 31 can specify the number of times of the suction operation of the suction nozzle 11. Specific methods for detecting the start of the sucking action (suction action) and the end of the sucking action using the air pressure sensor 40 are well known, and detailed descriptions are omitted here.

The timing unit 39 has a timing function, for example, measures the elapsed time since the end of the suction (sucking) operation performed by the user, or measures the elapsed time from the start of the main processing, the feedback processing, and the like described later.

The power switch unit 32 is switched to the ON state when the power of the taster 1 is to be turned on, and is switched to the OFF state when the power of the taster 1 is turned off. Power switch unit 32 When the timing section 39 has reached the timing time, for example, when a predetermined period of time has elapsed since the next sampling operation is detected by the air pressure acquisition section 31, the ON state is switched to the OFF state. . In addition, when the power switch unit 32 is in the OFF state, for example, when the air pressure acquisition unit 31 detects the start of the first taste operation performed by the user, the power switch unit 32 is switched from the OFF state to the ON state.

The sweat amount measurement unit 33 of the control unit 30 is connected to the mental sweat amount measurement electrodes 26 and 27, and measures the user's spirit based on the response value corresponding to the skin conductance output from the mental sweat amount measurement electrodes 26 and 27. Sexual sweating.

The setting unit 36 of the control unit 30 sets reference values, thresholds, and the like related to each parameter of the stress level analysis control described later, and stores and updates (resets) the memory unit 35. In addition, the setting unit 36 also memorizes, updates (resets), etc. the memory unit 35 with respect to the count value obtained by counting the number of times the user has inhaled (sucked) when the power switch unit 32 is in the ON state.

In addition, the motor control unit 34 performs drive control of the vibration motor 41 to vibrate the wooden case 13 to notify the user of various information. The light emission control unit 37 performs light emission control of the light emitting element 43 and notifies the user of various information. In addition, the determination unit 38 performs various determination processes in the stress degree analysis control described later.

≪Control content≫

Next, the pressure level analysis control performed by the control unit 30 in the taster 1 of the implementation mode 1 will be described. FIG. 8 is a flowchart showing a startup processing flow executed by the control unit 30 in the implementation mode 1. FIG. 9 is a flowchart showing the main processing flow executed by the control unit 30 after the power-on processing flow in the implementation mode 1 ends. FIG. 10 is a flowchart showing the flow of the reply processing executed by the control unit 30 after the main processing flow in the implementation mode 1 ends. Various places shown in Figures 8 to 10 The processing flow can be realized by the processor of the control section 30 executing various programs stored in the storage section 35.

In addition, FIG. 11 is a time-based diagram schematically showing the amount of mental sweat Qs when the control unit 30 of the squeegee 1 performs the pressure level analysis control. In FIG. 11, the horizontal axis shows time T, and the vertical axis shows mental sweat amount Qs. As shown in FIG. 11, the power-on processing is performed in a power-on processing section corresponding to a section from time T0 to T1. In addition, main processing is performed in a main processing section corresponding to a section from time T1 to T2, and feedback processing is performed in a feedback processing section corresponding to a section from time T2 to T3.

[Startup processing flow]

Next, the specific content of the boot process will be described with reference to FIG. 8. The start-up processing is a control flow that is executed by the control unit 30 when the power switch unit 32 is switched from the OFF state to the ON state. As described above, when the power switch unit 32 is in the OFF state, when the air pressure acquisition unit 31 detects that the first suction (puff) operation by the user is started, the power switch unit 32 is switched from the OFF state to the ON state.

At time T0 shown in FIG. 11, when the power switch section 32 is switched from the OFF state to the ON state and the power-on process is started, in step S101, the setting section 36 of the control section 30 performs the previous setting that is stored in the storage section 35. Information initialization (reset) initialization processing. Here, the so-called previous setting information refers to the time when the suction device 1 was started the last time (when it was switched from the OFF state to the ON state) and the pressure level analysis control was performed. Tapping frequency data, air pressure reference value data about air pressure reference value, initial reference sweat value data about initial reference sweat amount Qsb, judgment sweat data about judgment sweat amount Qsj Wait, and reset (delete) the data. The air pressure reference value data, the initial reference sweat amount data, and the judgment sweat amount data are described later.

Next, in steps S102 and S103, the setting unit 36 of the control unit 30 obtains the air pressure reference value data and the initial reference sweat amount data about the current pressure level analysis control, and stores them in the memory unit 35. Specifically, in step S102, the air pressure obtaining unit 31 of the control unit 30 obtains the air pressure data in the wooden case 13 according to the output signal of the air pressure sensor 40. In this step, the air pressure reference value is set when the user has not tasted the non-sucking state (non-sucking interval) of the suction nozzle 11, for example, after a predetermined data acquisition period (for example, 3 seconds), for each predetermined period (For example, 100 milliseconds) The average value obtained by averaging the acquired air pressure data. The setting unit 36 stores the air pressure reference value data on the air pressure reference value set in this step in the storage unit 35. In addition, since the air pressure reference value obtained as mentioned above is the air pressure data in the wooden case 13 in a non-sucking state (non-sucking section), it is approximately equal to the atmospheric pressure.

Next, in step S103, the sweat amount measurement part 33 of the control part 30 measures the user's mental sweat amount every predetermined period (for example, 100 milliseconds) over a predetermined data acquisition period (for example, 3 seconds). The measurement of the amount of mental sweating is based on a command to the power source 23 by the sweat amount measuring unit 33 to supply electric power from the power source 23 to the electrodes 26 and 27 for measuring the amount of mental sweat. As described above, the electrodes 26 and 27 for measuring the amount of mental sweating are disposed at positions where the electrodes 26 and 27 for measuring the amount of mental sweating can be reached by the fingers (for example, the index finger and the middle finger) of the user who holds the inhaler 1. The sweating amount measuring unit 33 is based on the mental sweating amount measuring electrodes 26 and 27 flowing through the skin of the finger of the user holding the taster 1 to a weak sweating amount measuring current. The output of 27 corresponds to the response value of skin conductance and can measure the amount of mental sweat of the user.

The sweat amount measurement section 33 of the control unit 30 is a plurality of mental sweat amount data about the mental sweat amount obtained for each predetermined period (for example, 100 milliseconds) over a predetermined data acquisition period (for example, 3 seconds) as described above. The average value obtained by performing the averaging process is used as the initial reference sweat amount Qsb. The setting unit 36 of the control unit 30 stores the initial reference sweat amount data on the initial reference sweat amount Qsb in the storage unit 35. In addition, the initial baseline sweating amount Qsb obtained in this step reflects the mental sweating of the state of the user when the user has not tasted the non-sucking state (non-sucking interval) of the suction nozzle 11 at the start of the pressure degree analysis control. The baseline value of the amount. In addition, the process of step S103 and the process of step S102 described above may be performed simultaneously or may be executed in an alternate order.

Next, in step S104, the user is notified (reported) of a start notification of the start of the stress level analysis control. Specifically, the motor control unit 34 of the control unit 30 supplies electric power from the power source 23 to the vibration motor 41 and operates (drives) the vibration motor 41. In addition, the wooden case 13 is vibrated by driving the vibration motor 41 so that the user feels the vibration, and the user can be notified of the start of the pressure level analysis control. In addition, the start notification may be performed by the light emission of the light emitting element 43 instead of the notification by the vibration of the wooden case 13, or both may be used in combination. In this case, the light emission control unit 37 supplies electric power from the power source 23 to the light emitting element 43 and causes the light emitting element 43 to emit light in a predetermined light emitting state.

When the vibration or light emission start notification is sensed, the preparation of the suction device 1 side can be grasped, and the timing of switching to the suction operation (deep breathing operation) of the suction nozzle 11 for pressure relief can be easily grasped. In addition, the start notification of the user report in this step may also be used as a notification to the user that the report (report) has been completed to obtain the initial reference sweat amount Qsb.

In the start notification, the vibration pattern when the vibration motor 41 is vibrated may be appropriately changed. For example, when the vibration motor 41 is vibrated, the vibration motor may be repeatedly driven alternately. The state of 41 and the state of stopping the drive. Although there is no particular limitation, for example, the driving time of the vibration motor 41 may be 200 milliseconds, the resting time may be 400 milliseconds, and the driving and stopping may be repeated several times (for example, twice). In addition, when the vibration notification by the vibration of the wooden case 13 and the light emission notification by the light emission of the light emitting element 43 are used in combination, both may be performed simultaneously, or both may be performed at different time. In the case of temporal deviation, the order of performing the vibration notification and the light emission notification may be appropriately switched. When the process of step S104 ends, the control unit 30 ends the power-on process and starts the process of the main process flow shown in FIG. 9.

At time T1 shown in FIG. 11, after the power-on process ends and the main process is started, the amount of mental sweat Qs gradually decreases from time T1 to time T2. This is because in the main processing section, as described later, as the user repeatedly performs the suction and suction action of the suction and suction device 1, the user substantially repeats deep breathing, resulting in a mentality that reflects the degree of stress of the user The amount of sweat Qs decreases. It is also known that when the sympathetic nerves are strained, the amount of mental sweating from the skin surface increases. In addition, when deep breathing is used to relieve physical and mental tension, the parasympathetic nerves are dominant, so the amount of mental sweating is also reduced. Since the amount of mental sweating is reduced, that is, the stress of the user is eliminated and relieved, the judgment is made accordingly in the present invention. That is, in the analysis and control of the degree of stress in this embodiment, it is considered that the increase and decrease of stress is related to the tension and relief of the sympathetic nerve, and the user is analyzed based on the amount of mental sweating related to the tension and relief of the sympathetic nerve. Degree of stress. In addition, the taster 1 of this embodiment has a wooden case 13 which is formed as an aroma generation source containing an aroma component. Therefore, although the user can only reduce the pressure by performing the suction action of the taster 1, the user can taste the aroma component emitted from the wood case 13 during the taste of the taster 1, and can impart more Relaxing feeling.

In FIG. 11, at the time T1 when the main process is started, the mental sweat amount Qs is an initial reference sweat amount Qsb set in the power-on process. In the example shown in FIG. 11, when the mental sweating amount Qs has been reduced to a predetermined low-pressure sweating amount Qsb2 at time T2, a slight pressure is applied to the user, and the user is awakened to wake up, and the main processing is ended. And start reply processing.

The low-pressure sweating amount Qsb2 is set to a value that is reduced from the initial reference sweating amount Qsb by a predetermined first reference sweating amount reduction amount ΔQsd1. Here, if the mental sweating amount Qs is reduced from the initial reference sweating amount Qsb by the first reference sweating reduction amount ΔQsd1, it can be determined that the user's sympathetic nervous tension has been relieved, the stress has been fully eliminated, and low-pressure sweating The amount Qsb2 is set as a threshold for determination. The first reference sweating reduction amount ΔQsd1 may be set to a fixed value or may be changed according to the setting of the user.

When the awake process is performed at time T2 in FIG. 11, the amount of mental sweat Qs gradually increases from then on. In the awake process, the user's skin is stimulated and a slight pressure is intentionally applied to the user, so that the user's awake degree is slightly increased. The details of the awake process will be described later. In FIG. 11, the amount of mental sweating Qs at time T2 corresponds to the amount of low-pressure sweating Qsb2. At time T2, due to the stimulus of awake treatment given to the user, the amount of mental sweating Qs follows from time T2 Change to T3 and gradually rise. Then, when the time T3 reaches a time point when the predetermined awake completion sweat amount Qsb3 is reached, the feedback processing is ended.

The awake completion sweat amount Qsb3 is set to a value where the lower pressure sweat amount Qsb2 is increased by a predetermined first reference sweat increase amount ΔQsu1. The first reference sweat increase ΔQsu1 is set to a smaller value than the first reference sweat decrease ΔQsd1. If the amount of mental sweat Qs rises from the low-pressure sweat Qsb2, the first reference sweat increase ΔQsu1 can be determined. The user maintains a low-pressure state and is fully awake, and can set the first reference sweat increase ΔQsu1 as a threshold for determination. The first reference sweat increase ΔQsu1 may be set to a fixed value or may be changed according to the setting of the user.

[Main processing flow]

Next, the specific content of the main processing executed by the control unit 30 will be described with reference to FIG. 9. When the main processing flow shown in FIG. 9 starts, in step S201, the air pressure acquisition unit 31 obtains air pressure data output from the air pressure sensor 40.

Next, in step S202, the determination unit 38 determines whether the user is currently performing the suction operation of the suction nozzle 11 based on the air pressure data obtained in step S201. In this step, when the determination unit 38 determines that it is a taste state, it updates the number of times of taste data stored in the memory unit 35. The data of the number of times of tasting stored in the memory section 35 is reset in step S101 of the boot process. Therefore, in this step, the value obtained by accumulating the number of times of tasting after the start of the main processing flow is stored in the memory部 35。 35. Then, after updating the number-of-sucking data in the storage unit 35, the process proceeds to step S203. When the determination unit 38 determines in step S202 that it is not in a taste state, the process proceeds to step S209. The processing content of step S209 will be described later.

Next, in step S203, the sweat amount measurement part 33 measures the mental sweat amount Qs of a user. That is, in this step, the amount of mental sweat Qs of the user during the taste operation is measured. In this step, similar to step S103 of the power-on process shown in FIG. 8, a weak sweating current is passed from the mental sweating electrodes 26 and 27 through the skin of the finger of the user who holds the taster 1. The skin conductance is measured, and the mental sweating Qs is obtained based on the measured value of the skin conductance. In addition, in this step, the user's mental hair in the state of sip is measured The amount of sweat Qs, therefore, can reduce the change in the amount of mental sweating (noise) in the visual impression caused by body movement, and can also reduce the artificial factor of body movement.

In the above steps S202 and S203, the mental sweating amount Qs is measured to detect that the user is triggering during the tasting action, but the mentality may also be performed when it is detected that the tasting action has continued for a certain period of time. Measurement of sweating Qs. At this time, the determination unit 38 may obtain the duration of the user's tasting action from the timer unit 39, and when it is determined that the duration of the tasting action exceeds a predetermined threshold value, the mental sweat amount Qs is measured.

Next, the process proceeds to step S204, and the determination unit 38 calculates the sweating change between the difference between the measurement value of the mental sweat amount obtained recently (hereinafter referred to as "the latest measurement value") and the determination sweat amount Qsj stored in the memory 35.量 △ Qs. The amount of perspiration for judgment Qsj is the amount of perspiration for determination used when it is compared with the low-pressure perspiration amount Qsb2 in the determination step described later, and it reflects that the amount of mental sweat is gradually reduced by repeatedly sucking the suction device The amount of sweating of the user's state.

The determination unit 38 determines whether or not the calculated amount of change in sweat ΔQs does not reach the allowable amount of change ΔQsa (for example, 10 [mg / cm ² / min]). Here, if the sweat change amount ΔQs does not reach the allowable change amount ΔQsa, the process proceeds to step S205, and the setting unit 36 updates the judgment sweat data on the judgment sweat amount Qsj stored in the memory 35 with the latest measured value. . In step S205, the latest measured value is used as the determination sweat amount Qsj and stored in the memory unit 35. When the process of step S205 ends, the process proceeds to step S206.

In the first measurement of the mental sweat amount for the first time after the main processing flow is started, the judgment sweat data on the judgment sweat amount Qsj in the memory section 35 is reset. In this case, the process of step S204 is omitted. While proceeding to step S205, The first measured value of the amount is stored in the memory section 35 as the determination sweat amount Qsj. When the process of step S205 ends, the process proceeds to step S206.

When the amount of change in sweat ΔQs in step S204 is equal to or greater than the allowable amount of change ΔQsa, the judgment sweat data for the judgment sweat amount Qsj stored in the memory 35 is not updated, and the process proceeds directly to step S206. In this embodiment, when the amount of change in sweat ΔQs is equal to or greater than the allowable amount of change ΔQsa, that is, when the latest measurement value obtained recently has changed excessively from the measurement value obtained before the latest measurement value, it is determined that the body is in motion. The human factor has a large influence on the latest measured value, and the latest measured value is not used as the sweat amount for judgment Qsj.

Next, in step S206, the determination unit 38 determines whether or not the determination sweat amount Qsj stored in the memory unit 35 has not reached the low-pressure sweat amount Qsb2 described in FIG. 11. The low-pressure sweating amount Qsb2 is set to a value lower than the initial reference sweating amount Qsb set in step S103 of the power-on process by the first reference sweating reduction amount ΔQsd1. In step S206, when it is determined that the determination sweat amount Qsj has not reached the low-pressure sweat amount Qsb2, the process proceeds to step S207, and when it is determined that the determination sweat amount Qsj is equal to or more than the low-pressure sweat amount Qsb2, the process proceeds to step S209.

In step S207, the motor control unit 34 supplies electric power from the power source 23 to the vibration motor 41, and operates (drives) the vibration motor 41 to execute awake processing. The awake process is a process in which the user is provided with a vibration stimulus (small pressure) of the wooden case 13 caused by the driving of the vibration motor 41 to increase the user's level of awakeness. The driving state of the vibration motor 41 in the awakening process is not particularly limited. For example, the vibration motor 41 can be driven for 1000 milliseconds, so that the user's awake degree is improved. When the awake process in step S207 ends, the process proceeds to step S208.

In step S208, the light emission control unit 37 performs control to supply electric power from the power source 23 to the light emitting element 43, so that the light emitting element 43 emits light in a predetermined light emitting state, so that The person notifies (reports) that the stress relief is completed. This stress-relief completion notification is a notification for the user to report that the sympathetic nervous tension of the user has been relieved and that the stress has been fully relieved. The light-emitting state of the light-emitting element 43 in this step may be set to a light-emitting state that is different from the light-emitting state when the user is notified of the start notification in step S105 of the above-mentioned boot process. When the process of step S208 ends, the main process is ended first, and the process of the reply processing flow shown in FIG. 10 is started.

Next, the process of step S209 is demonstrated. In step S209, the determination unit 38 obtains the elapsed time Tp1 after the start of the main process from the timer unit 39. Then, the determination unit 38 determines whether the acquired elapsed time Tp1 exceeds a predetermined first timeout time Tsh1. The first timeout time Tsh1 can be set to a fixed value (for example, about 180 seconds), or it can be changed according to the setting of the user.

When it is determined in step S209 that the elapsed time Tp1 has not exceeded the first timeout time Tsh1, the process returns to the process of step S201, and the processes of steps S201 to S206 are repeated. On the other hand, when it is determined in step S209 that the elapsed time Tp1 has exceeded the first overtime time Tsh1, the process proceeds to step S210, and the sobering process is performed in the same manner as step S207. When the awake process in step S210 ends, the process proceeds to step S211.

In step S211, the light emission control unit 37 causes the light emitting element 43 to emit light in a predetermined light emission state, so as to notify (report) a timeout notification that the user has exceeded the time intention. The light-emitting state of the light-emitting element 43 in this step can be set to a light-emitting state that is different from the light-emitting state when the start notification of the start-up process and the notification of completion of pressure relief are performed. When the notification process of step S211 ends, the main process is ended first, and the process of the feedback processing flow shown in FIG. 10 is started.

[Feedback processing]

When the control unit 30 starts the feedback processing flow, first, in step S301, the sweat amount measurement unit 33 measures the user's mental sweat amount Qs. Measurement system and main treatment of mental sweating Qs The processing content of step S203 is the same. Next, the process proceeds to step S302, and the determination unit 38 determines whether or not the mental sweat amount Qs measured in step S301 exceeds the awake completion sweat amount Qsb3.

Here, a method of setting the arousal sweat amount Qsb3 will be described. In this embodiment, the awake sweat amount Qsb3 corresponds to whether the mental sweat amount Qs in the above main processing flow is reduced to a low-pressure sweat amount Qsb2, or whether the difference in the main processing flow is terminated due to timeout. Different values.

Specifically, in the main processing flow, when the mental sweating amount Qs is reduced to the low-pressure sweating amount Qsb2 and the awake process is performed, the awake-completed sweating amount Qsb3 is set to a lower pressure sweating amount Qsb2 which increases the predetermined first reference Sweat rise amount ΔQsu1 value. On the other hand, when the main processing flow becomes time-out and the mental sweating Qs is not reduced to the low-pressure sweating quantity Qsb2, the awake processing Qsb3 will be remembered at the end of the main processing flow The determination sweat amount Qsj in the memory unit 35 is used as a reference, and is set to a value that is higher than the determination sweat amount Qsj by a predetermined second reference sweat increase amount ΔQsu2. Here, the second reference sweat increase ΔQsu2 is set to a smaller value than the first reference sweat increase ΔQsu1.

In step S302, when it is determined that the amount of mental sweating Qs is less than the awake completion sweat amount Qsb3, the process proceeds to step S303, and when it is determined that the amount of mental sweating Qs exceeds the awake completion sweat amount Qsb3, the process proceeds to step S305.

In step S303, the determination unit 38 obtains the elapsed time Tp2 from the timing unit 39 after the feedback processing is started. The determination unit 38 determines whether the acquired elapsed time Tp2 exceeds a predetermined second timeout time Tsh2. The second timeout time Tsh2 can be set to a fixed value (for example, about 30 seconds), or it can be changed according to the setting of the user.

When it is determined in step S303 that the elapsed time Tp2 has not exceeded the second timeout time Tsh2, the process returns to the process of step S301, and the processes of steps S301 to S302 are repeated. On the other hand, when it is determined in step S303 that the elapsed time Tp2 has exceeded the second timeout time Tsh2, the process proceeds to step S304.

In step S304, a time-out notification is reported to the user that the time-out intention has been exceeded. The overtime notification may be a vibration notification in which the wooden case 13 is vibrated by the drive of the motor control unit 34, or it may be a light emission notification performed by the light emission of the light emitting element 43 instead of or in combination. When the process of step S304 ends, the process proceeds to step S306.

In step S305, the user is notified of completion. The completion notification is a notification for the user to inform the user to maintain a low-pressure state and to be fully awake. When the process of step S305 ends, the process proceeds to step S306. Then, in step S306, the power switch unit 32 is switched from the ON state to the OFF state, and the recovery process is ended, and the power of the taster 1 is turned off.

As described above, according to the taster 1 of the present embodiment, the control unit 30 performs pressure level analysis and control, analyzes the user's level of stress based on the user's mental sweat amount information, and notifies the user of the use. As a result of analyzing the results, the user can easily grasp whether the pressure has been sufficiently eliminated by repeatedly performing the sucking action of the sucker 1.

In addition, in the above main processing flow, from the start of the main processing flow to the timeout, the control unit 30 repeatedly measures the user's mental sweating amount Qs (for example, every 100 milliseconds), and can accurately determine whether it is mental or not. The amount of sweat Qs is reduced to a state of low pressure sweat Qsb2 and the stress has been sufficiently eliminated. In addition, when it is confirmed that the amount of mental sweating Qs has been reduced to the amount of low-pressure sweating Qsb2, a slight stimulus (stress) is intentionally given to the user to perform the cleaning of the user. The awake treatment with a slight increase in awake degree can make the user awake into a state of renewed consciousness instead of a state of consciousness. However, in the stress degree analysis control according to the embodiment, the sober processing is not necessary and can be appropriately omitted. For example, if it is determined in step S206 of the main processing flow shown in FIG. 9 that the determination sweat amount Qsj (the user's mental sweat amount Qs) stored in the memory section 35 does not reach the low-pressure sweat amount Qsb2, it may not be performed. The awake process proceeds to step S208, and the user is notified of the end of stress relief notice. In addition, even in the case of a timeout in step S209 of the main processing flow, the process may proceed to step S211 without performing a sober process and report a timeout notification to the user.

In addition, in the sober processing of the present embodiment, the user is given a vibration stimulus caused by the vibration of the wooden case 13 by the drive of the vibration motor 41. However, as long as a slight pressure can be applied to the user, Use other methods. For example, the light emitting element 43 may be made to emit light, and the user may be stimulated to make the user conscious. In addition, the taster 1 may be provided with a sound output device that outputs sound, and in this case, the user may be awakened by sound stimulation. In addition, the taster 1 of the present embodiment may not include the light emitting element 43. Various notifications using the light emitting element 43 in the above-mentioned pressure level analysis control may be replaced by vibration of the wooden case 13 caused by driving the vibration motor 41.

In addition, according to the taster 1 of this embodiment, in the main processing flow of the pressure level analysis control, it is set to measure the amount of mental sweat only during the suction operation of the taster 1. Therefore, It can reduce the influence of the change in the amount of mental sweating in the visual impression caused by body movement, that is, reduce the influence caused by the human factors of body movement, and can accurately grasp the user's amount of mental sweating. However, in the taster 1 of this embodiment, it is also possible to measure the amount of mental sweat during a non-smelling operation.

Implementation type 2

Next, a taster 1A of the second embodiment will be described. Fig. 12 is a block diagram of the taster 1A of the embodiment 2. In the taster 1A of the second embodiment, the same components as those of the taster 1 of the first embodiment are denoted by the same reference numerals, and detailed descriptions are omitted. As shown in FIG. 12, the sucker 1A is provided with a pressure sensor 44. The pressure sensor 44 is provided in a state where the wooden case 13 is exposed, and detects the pressure when the user holds the taster 1A with a strong force. The control unit 30A of the taste device 1A includes a pressure detection unit 31A that obtains an output signal of the pressure sensor 44. In addition, the difference between the taster 1A and the taster 1 of the first embodiment is that the pressure sensor 40 is not provided, and other structures are the same as those of the taster 1 of the first embodiment.

In the sucker 1A of the present embodiment, when the control unit 30A performs the pressure level analysis control, when the user's holding force for holding the wooden case 13 is detected based on the output signal from the pressure sensor 44, the user's Amount of mental sweating.

FIG. 13 is a flowchart showing a startup process flow of implementation type 2. FIG. 14 is a flowchart showing the main processing flow of the implementation type 2. The following description focuses on the processing contents of the power-on processing flow and the main processing flow described in FIGS. 9 and 10 different from the implementation mode 1.

[Startup processing flow]

In the power-on processing flow shown in FIG. 13, the processing content of step S102 shown in FIG. 9 is omitted. That is, when the control unit 30A starts the power-on processing flow because the power switch unit 32 is switched from the OFF state to the ON state, the process of initializing the previous setting information stored in the memory unit 35 is performed in step S101, and then, in step S101, In S103, the sweat amount measurement unit 33 obtains an initial reference sweat amount Qsb. Then, in the subsequent step S104, the stress degree score is reported to the user. After the start notification of the start of the analysis control, the power-on processing flow is ended, and the main processing flow shown in FIG. 14 is started. When the power switch unit 32 is in the OFF state, the pressure detection unit 31A switches from the OFF state to the ON state when the user detects the grip strength of the wooden case 13 based on the output data of the pressure sensor 44.

[Main Processing]

When the main processing flow starts, in step S401, the pressure detection unit 31A obtains the output data of the pressure-sensing sensor 44. Next, in step S402, the determination unit determines whether the user is holding the taster 1 (wooden case 13) based on the output data of the pressure sensor 44 obtained by the pressure detection unit 31A. In this step, if it is determined that the user is holding the wooden case 13, the process proceeds to step S203. On the other hand, if it is determined that the user is not holding the wooden case 13, the process proceeds to step S209. Each processing of steps S203 to S211 is the same as the main processing flow described in FIG. 10. In addition, in the above step S402, the state of the user's grip of the wooden case 13 is detected, that is, the amount of mental sweating Qs is measured. However, it can also be detected that the user's grip of the wooden case 13 continues for a certain period of time or more Only then did the measurement of mental sweating Qs. At this time, the determination unit 38 can obtain the duration of the grasping state of the user holding the wooden case 13 from the timer unit 39. When the duration of the grasping state is determined to have exceeded a predetermined threshold, the sweat amount measurement unit 33 performs mental sweating Determination of Qs. In the taster 1A of the implementation form 2, the feedback processing executed after the end of the main processing flow is the same as that described in the implementation form 1.

Change example

Next, a modification will be described. Fig. 15 is an explanatory view of a taster 1B according to a modification. As shown in FIG. 15, in the taster 1B of the modified example, the nozzle holder 12 of the nozzle unit 10 is provided with a liquid holding recess 123. In the liquid retaining recess 123, for example, a liquid fragrance such as an essential oil is dropped and This liquid fragrance can be retained. This allows the user to taste the aroma components emitted from the liquid fragrance retained in the liquid retaining recess 123 during the inhalation by the taster 1B, and can provide a relaxed feeling.

In addition, the taster 1B may contain an aroma generating source (such as a fragrance, a tobacco source) that releases aroma components in the wooden case 13. When the user tastes the taster 1B, the aroma component released by the aroma generating source may be It is mixed with the air flowing through the ventilation duct of the wooden case 13, and is supplied into the oral cavity from the nozzle hole 112. At this time, for example, the taster 1B may have a heater (not shown) to heat an aroma generating source (for example, a fragrance or a tobacco source) contained in the accommodating portion contained in the wooden case 13 to promote the release of an aroma component by the aroma generating source. At this time, for example, the control unit 30 of the taster 1B can detect the taste (suck) action performed by the user, so that the aroma generating source can be heated by the heater to promote the release of aroma components. Thereby, during the inhalation of the taste device 1B, the aroma component emitted from the aroma generation source can be supplied together with the inhaled air, and the user can be further provided with a relaxed feeling.

In the above embodiment, the air pressure obtaining section 31, the pressure detecting section 31A, the power switch section 32, the sweat amount measuring section 33, the motor control section 34, the setting section 36, the light emission control section 37, the determination section 38, and the timer section The operations described in 39 operations can be executed by a computer. For example, a computer executes programs using hardware resources such as a processor (CPU), memory, input / output circuits, and the like, and executes each of the processes described above. Specifically, each processing is executed by the processor outputting the data to be processed to a memory or an input / output circuit.

<Implementation Mode 3>

Next, the sucker 1 of the third embodiment will be described. Section 16 is a block diagram of the taster 1 of the implementation type 3. The hardware configuration of the taster 1 of the implementation type 3 is related to the implementation type The sucker 1 of state 1 is the same. In the following description, the parts of the taster 1 of the implementation form 3 which are different from those of the taster 1 of the implementation form 1 will be described mainly. The same elements are denoted by the same element symbols, and detailed description is omitted. The taster 1 of the implementation mode 3 is also provided with a control unit 30 belonging to a control unit for controlling the taster 1. The control unit 30 may be, for example, a microcomputer including a processor and a memory.

As shown in FIG. 16, the control unit 30 includes an air pressure obtaining unit 31, a power switch unit 32, a sweat measurement unit 33, a motor control unit 34, a setting unit 36, a light emission control unit 37, a determination unit 38, a timer unit 39, The functional units such as the prediction unit 50 and the processing unit 51. The control unit 30 includes a memory unit 35 that stores various programs to be executed by a processor of the control unit 30. The memory unit 35 is, for example, a nonvolatile memory, and may be a main memory device or an auxiliary memory device provided in the control unit 30. In addition, each of the functional units described above is implemented by a processor (CPU) provided in the control unit 30 according to a predetermined program operation. That is, the control unit 30 executes a program by using hardware resources such as a processor (CPU), a memory, and an input / output circuit to execute each process of the above-mentioned functional units. Specifically, the processor outputs data of a processing object to a memory or an input / output circuit to execute each process of each functional unit.

Here, the memory unit 35 stores a sweat amount minimum prediction mode 351 and a sweat amount maximum prediction mode 352 used when the main process of the stress level analysis control performed by the control unit 30 is performed. Details of the minimum sweat amount prediction mode 351 and the maximum sweat amount prediction mode 352 will be described later.

In the main processing of the stress degree analysis control of the implementation modes 1 and 2 described above, it is assumed that the low-pressure sweat amount Qsb2 belonging to the determination threshold value for determining whether the user is in a low-pressure state is set as the initial value. Base sweat amount Qsb is as low as the first benchmark sweat amount Decrease the value of △ Qsd1, so if the degree of mental sweating, or the characteristics of mental sweating that changes when receiving a psychological stimulus such as stress, the variation characteristics of mental sweating may vary greatly due to personal differences, due to the personal differences It is difficult to properly determine the user's mental sweating state. Therefore, the taster 1 of the implementation mode 3 is characterized in that a judgment threshold used for estimating the user's mental sweating state is set based on a novel algorithm that is not easily affected by the individual differences of each user. value. Hereinafter, details of the pressure degree analysis control of the taster 1 of the implementation mode 3 will be described. In addition, in this embodiment, the sucker 1 provided with the control part 30 which performs the said pressure degree analysis control is an example of the sweating state determination apparatus of this invention.

Next, a description will be given of the pressure degree analysis control of the taster 1 of the third embodiment. In the stress degree analysis control of this embodiment, as in the above embodiment, the control unit 30 performs each process such as power-on process and main process.

FIG. 17 is a diagram illustrating the transition of the user's mental sweating amount Qs when the taster 1 of the implementation mode 3 performs the pressure level analysis control. The horizontal axis of FIG. 17 shows time, and the vertical axis shows the user's mental sweating Qs. The period from time Ta to Tb is the power-on processing period (calibration period) ΔTk during which the power-on processing is performed.

The power-on processing is the same as in the first embodiment. When the power switch unit 32 is switched from the off state to the on state, the trigger control unit 30 starts execution. For example, when the power switch unit 32 is switched from the off state to the on state and the power on process is started within the time Ta shown in FIG. 17, the sweat amount measurement unit 33 of the control unit 30 goes through the power on process period ΔTk, The user's mental sweating amount Qs is measured at a predetermined sampling period (here, exemplified as 500 ms). Although the power-on processing period ΔTk is not particularly limited, FIG. 17 shows that the power-on processing period ΔTk is set to 5 seconds. In addition, the power switch section 32 is When the source switch unit 32 is in the off state, when the air pressure acquisition unit 31 detects the start of the user's first suction (puff) operation, the power switch unit 32 switches from the off state to the on state.

The measurement of the user's mental sweating amount Qs is instructed by the sweating amount measuring unit 33 to the power source 23, and power is supplied to the mental sweating amount measuring electrodes 26 and 27 from the power source 23. The sweat amount measurement unit 33 is configured to pass a current for measuring a weak sweat amount from the skin of the finger of the user holding the suction device 1 from the electrodes 26 and 27 for measuring the mental sweat amount, and is based on the electrode for measuring the sweat amount The output value corresponding to the skin conductance output at 26 and 27 can measure the user's mental sweating. When the power is turned on, the amount of mental sweat of the user obtained in a predetermined sampling period is memorized in the memory portion 35. In addition, the sweat amount measurement section 33 obtains the elapsed time after the power-on process is started from the timer section 39, thereby measuring the user's mental sweat amount at a predetermined sampling cycle.

Here, the mental sweat amount Qs of the user shown in FIG. 17 is an output value corresponding to the skin conductance output from the mental sweat amount measuring electrodes 26 and 27. The unit of the mental sweat amount Qs shown in FIG. 17 is micro Siemens [μS], and is related to the inverse of the resistance. In addition, the output value [unit: μS] output by the electrodes 26 and 27 for measuring the amount of mental sweat, and the amount of moisture [unit: mg / cm ² / min] generated per unit time of the skin per unit area of the skin. The relationship is a function, and the amount of sweat, which is the amount of sweat, can be determined from the output values of the mental sweat amount measuring electrodes 26 and 27 without any ambiguity. Therefore, in this specification, the case where "the user's mental sweating amount" is expressed in [μS] and the case where it is expressed in [mg / cm ² / min] are substantially equivalent.

Here, the control unit 30 ends the power-on processing within a time Tb in which the power-on processing period ΔTk elapses from the start of the power-on processing. At this time, the control unit 30 series The memory section 35 is accessed, and the maximum value of the user's mental sweat amount Qs obtained during the power-on processing ΔTk is stored in the memory section 35 as the initial reference sweat amount Qs # max. In addition, the control unit 30 notifies the user of the start of inhalation of the inhalation of the inhaler 1 by the user. For example, the motor control unit 34 of the control unit 30 supplies electric power from the power source 23 to the vibration motor 41 and operates (drives) the vibration motor 41. By driving the vibration motor 41 to vibrate the wooden case 13 and make the user perceive the vibration, the user can be notified of the start of the taste. In addition, instead of or in combination with the notification generated by the vibration of the wooden case 13, the start notification may be performed by the light emission of the light emitting element 43. At this time, the light emission control unit 37 supplies electric power from the power source 23 to the light emitting element 43 and causes the light emitting element 43 to emit light using a predetermined light emitting pattern. In addition, during the power-on process, the control unit 30 measures the user's mental sweat according to a predetermined sampling period regardless of whether the user sucks the sucking state of the suction nozzle 11 or the non-taste state量 Qs.

Here, the interval system control unit 30 between the time Tb and Tc shown in FIG. 17 executes the prediction feature amount measurement period ΔTmp of the prediction feature amount measurement process. The control unit 30 performs a min-max prediction process within the time Tc of the end time of the prediction feature amount measurement period ΔTmp. In addition, in the sweating amount determination period ΔTmj corresponding to the time period Tc to Td in FIG. 17, the control unit 30 determines whether the sweating amount Qs of the user does not reach the threshold for determination. Sweat amount determination processing for whether or not a person is in a low-pressure state. The details of the above-mentioned prediction characteristic amount measurement processing, min-max prediction processing, and sweat amount determination processing are as described later, and each of these processing is included to constitute the main processing.

In addition, in this embodiment, the length of the prediction characteristic amount measurement period ΔTmp is not particularly limited, but the following description will be made by taking a case where the prediction characteristic amount measurement period ΔTmp is set to 100 seconds as an example. In the sweat amount determination process, a predetermined sampling cycle is used. Period (here, exemplarily set to 500 ms) The determination unit 38 of the control unit 30 determines whether the user's mental sweating amount Qs has not reached the threshold for determination. When it is confirmed that the user's mental sweating amount Qs has not reached the threshold for determination, it is determined that the user's sympathetic nervous system is in a low-pressure state in which the tension in the user's sympathetic nervous system is relieved, and the main processing is terminated.

In addition, in the main process of this embodiment, in the sweating amount determination process, even if the user's mental sweating amount Qs is maintained above the threshold for determination, it is preset to start from the main process ( In the case where the predetermined first timeout period of time T _i elapses, the main process (sweat amount determination process) is forcibly terminated due to the timeout. In addition, although the length of the above-mentioned first overtime period is not particularly limited, the following description is made by taking a case where the length is 180 seconds as an example. Here, when the power-on processing period ΔTk is set to 5 seconds, the prediction characteristic amount measurement period ΔTmp is set to 100 seconds, and the first timeout time ΔTto is set to 185 seconds, the amount of sweat is determined. The period ΔTmj is a maximum of 80 seconds, and in this embodiment, the prediction characteristic amount measurement period ΔTmp is set as a period shorter than the first timeout period ΔTto. In addition, the time Td from the time Tb at which the main process (prediction characteristic amount measurement process) is started to the time point (the first time-out period) when the first time-out time ΔTto elapses is equivalent to the maximum time to continue the main process The (longest) period is hereinafter referred to as the "main processing continued maximum period ΔTmax".

In this embodiment, the user's mental sweating amount is continuously measured during the maximum main processing continued period ΔTmax (equivalent to the "judgment target period" of the present invention), and the measured mental sweating amount and determination are based on The comparison result (magnitude relationship) between the threshold values is used to determine the amount of mental sweat of the user.

Next, the control unit 30 starts the main processing. Fig. 18 is a diagram showing the processing contents of the main processing in the implementation mode 3. Each process shown in FIG. 18 is executed by the execution control unit 30 The processor is realized by storing various programs in the memory section 35. The main processing of this embodiment mode includes a prediction feature amount measurement process in step S30, a min-max prediction process in step S40, and a sweat amount determination process in step S50.

In this embodiment, the main process including the prediction feature amount measurement process, the min-max prediction process, and the sweat amount determination process is equivalent to the basis of ΔTmax (equivalent to the "judgment object of the present invention" Period "). The sweating state determination control of the user's mental sweating amount based on the comparison between the user's mental sweating amount and the determination threshold value is continuously measured.

First, in the prediction feature quantity measurement processing in step S30, the control unit 30 runs through the above-mentioned prediction feature quantity measurement period ΔTmp (100 seconds), and according to a predetermined sampling period (here, exemplarily set to 500 ms ) To measure the user's mental sweating Qs. The measurement of the user's mental sweating amount Qs is the same as when the power is turned on. The sweating amount measuring unit 33 of the control unit 30 instructs the power source 23 and supplies power from the power source 23 to the mental sweating amount. The measurement electrodes 26 and 27 are obtained by obtaining output values output from the mental sweat amount measurement electrodes 26 and 27. The sweat amount measurement unit 33 obtains the elapsed time T _i after the start of the main process (prediction characteristic amount measurement process) from the timer unit 39, thereby measuring the user's mental sweat amount at a predetermined sampling cycle.

In the prediction feature quantity measurement processing, the determination unit 38 determines whether or not the user is currently performing a suction operation on the suction nozzle 11 according to the sampling period (here, 500 ms is exemplarily set), and only the determination unit 38 determines that During the smoking operation, the sweat amount measurement unit 33 measures the mental sweat amount Qs of the user. Here, the processing unit 51 is a functional unit that performs various processes on the measurement value of the mental sweat amount Qs of the user measured in the stress level analysis control. The determination of whether or not the user is currently in the sucking action can be made based on the detection result of the sucking action (suction action) performed by the air pressure acquisition unit 31. Here, the processing unit 51 performs a calculation process of dividing the measurement value of the user's mental sweat amount Qs measured by the sweat amount measurement unit 33 by the initial reference sweat amount G # max obtained when the power is turned on, and calculates "correction Completion of the sweat amount measurement value "G" (G = Qs / G # max), and the sweat amount measurement data Dg is stored in the memory section 35. The sweat amount measurement data Dg is the calculated sweat correction value to complete the sweat amount measurement value G corresponds to the elapsed time T _i (i = 0, 0.5, 1.0, ... 99.5) from the start of the main process. Further, in calculating the amount of correction is completed perspiration measurement value _{G i (i = 0,0.5,1.0, ...} 99.5) on the occasion, in order to make the user's mental sweating amount Qs of the data series when the measured value smoothed, It is also possible to obtain a correction to complete the sweat measurement by applying a moving average process to the measured value of the mental sweat amount Qs, and dividing the mental sweat amount Qs after the moving average process by the initial reference sweat amount G # max. Setting value G.

The subscript i indicates the elapsed time from the start of the main process. As described above, in this description, the prediction characteristic amount measurement period ΔTmp is set to 100 seconds, and the measurement period of the mental sweat amount is set to 500 ms. Therefore, it is generated in the prediction characteristic amount measurement process. The sweat amount measurement data Dg contains 200 corrected sweat amount measurement values G _i (i = 0) corresponding to the elapsed time T _i (i = 0, 0.5, 1.0, ... 99.5) from the start of the main process. , 0.5, 1.0, ... 99.5). In addition, when the corrected sweat amount measurement value included in each of the sweat amount measurement data Dg is displayed in an array, it is as follows.

Dg = [G ₀ , G _0.5 , G _1.0,. ． ． G _99.5 ]

In addition, the value of the sweating measurement value G ₀ after the correction is completed at the start of the main process (at the start of the characteristic amount measurement process for prediction) is set to 1.

Further, in each of the samples in the predictive characteristic amount measurement processing, when the determination section 38 determines that it is not in a tasting operation, the sweat amount measurement section 33 does not measure the user's mental sweat amount Qs. At this time, the processing unit 51 uses the corrected completed sweat amount measurement value G at the previous sampling time as the corrected completed sweat amount measurement value G at the current sampling time and stores it in the sweat amount measurement data Dg. For example, when the elapsed time T _5.0 from the start of the main processing is a non-smelling operation, G _5.0 is stored in the sweat amount measurement data Dg with the same value as G _4.5 corresponding to the elapsed time T _4.5 .

As described above, in the predictive characteristic amount measurement process, since the user's mental sweating amount Qs is measured only in the state of ingestion, it is possible to reduce the change in the amount of mental sweating in appearance due to body movement (miscellaneous (Information). In addition, as shown in FIG. 17, during the prediction feature amount measurement period ΔTmp in which the prediction feature amount measurement process of the main process is performed, the user's mental sweat amount Qs gradually decreases. This is because as the user repeatedly performs the sucking action of the inhaler 1, the user will essentially breathe deeply and repeatedly, thereby causing a decrease in the amount of mental sweat Qs that reflects the degree of stress of the user.

Here, at the time point when the prediction feature amount measurement period ΔTmp (100 seconds) ends, the control unit 30 ends the prediction feature amount measurement process and performs the min-max prediction process of step S40 in FIG. 18. The min-max prediction process is performed by the prediction unit 50 of the control unit 30 based on the correction of the sweat amount measurement value G _i (i = 0, 0.5, 1.0, ... 99.5) based on the correction stored in the memory unit 35 during the prediction feature quantity measurement process. ) Sweat amount measurement data Dg corresponding to the elapsed time T _i (i = 0, 0.5, 1.0, ... 99.5) from the start of the main process, and the minimum value of sweat amount stored in the memory section 35 is predicted The mode 351 and the maximum sweat amount prediction mode 352 are used to predict the minimum value of the user ’s mental sweat amount during the main processing continued maximum period ΔTmax (180 seconds) and the maximum value of the maximum mental sweat amount. Processing of values.

Next, a sweat amount minimum prediction mode 351 and a sweat amount maximum prediction mode 352 will be described. The minimum sweating amount prediction mode 351 shows the change of the user's mental sweating amount over time during the time period during which the characteristic amount for prediction is measured △ Tmp (100 seconds) and the maximum period during which the main processing continues △ Tmax (180 seconds The prediction model of the correlation of the minimum amount of mental sweat of the user). More specifically, the minimum sweating amount prediction mode 351 is a method for using the plural (major) sweating minimum learning data as a teacher's data to mechanically learn the mentality of the user during the prediction characteristic measurement period ΔTmp. The prediction model of the completion of the correlation between the change in the amount of sweat and the minimum value of the user ’s mental sweat during the maximum period of the main processing △ Tmax. Use the suction device 1 and change the measured value of the amount of mental sweat of the test subject during the predictive characteristic amount measurement period ΔTmp obtained by performing the stress level analysis control (main process) with the main process continued maximum period ΔTmax Data corresponding to the minimum value of the measured perspiration amount of the test subject.

In addition, the maximum sweating amount prediction mode 352 shows the change of the user's mental sweating amount over time during the time period during which the characteristic amount for prediction is measured, ΔTmp (100 seconds), and the maximum period during which the main processing continues ΔTmax (180 seconds The prediction model of the correlation of the maximal amount of mental sweat of the user). More specifically, the sweating maximum value prediction mode 352 is a method for using the plural (major) sweating maximum learning data as a teacher's data to mechanically learn the mentality of a user who predicts a characteristic amount during the measurement ΔTmp. The prediction model of the completion of the correlation between the change in the amount of sweat and the maximum value of the user's mental sweat during the maximum duration of the main processing △ Tmax. The majority of the test subjects used the suction device 1 and measured the mental sweating amount of the plural (majority) test subjects during the prediction characteristic amount measurement period ΔTmp obtained by performing pressure level analysis control (main processing). The change of the value corresponds to the maximum value of the measured value of the psychiatric sweat amount of the plurality (many) of the test subjects during the maximum period during which the main process continues.

In this embodiment, the sweat amount minimum prediction mode 351 and the sweat amount maximum prediction mode 352 are constructed as linear modes. For this linear mode, for example, LASSO and the like can be suitably used. However, the sweat amount minimum prediction mode 351 and the sweat amount maximum prediction mode 352 are not limited to LASSO, and a non-linear mode may be used.

In the min-max prediction process, the prediction unit 50 corrects the sweat amount measurement value as an example of the measurement of the mental sweat amount of the user measured throughout the prediction characteristic amount measurement period ΔTmp from the start of the main process. G _i (i = 0, 0.5, 1.0, ... 99.5) is used as a feature quantity in the minimum sweat amount prediction mode 351 and the maximum sweat amount prediction mode 352, respectively, thereby predicting the maximum duration of the main processing to continue ΔTmax. The minimum value of the user's mental sweating and the maximum value of the user's mental sweating. Hereinafter, the minimum value of the user's mental sweating amount during the main processing continued maximum period ΔTmax obtained by the prediction using the sweating amount minimum value prediction mode 351 as described above is set to the "minimum predicted value Gpmin". In addition, the maximum value of the mental sweat amount of the user who continues the maximum period ΔTmax in the main process obtained by the prediction using the maximum sweat amount prediction mode 352 is set to the "maximum predicted value Gpmax".

The sweat amount minimum prediction mode 351 predicts the minimum predicted value Gpmin by the following formula (1).

Gpmin = a ₀ × G ₀ + a _0.5 × G _0.5 + a _1.0 × G _1.0 + ... + a _99.5 × G _99.5 (1)

Among them, a _i (i = 0, 0.5, 1.0, ... 99.5) is a weight with respect to the measured sweat value G _i (i = 0, 0.5, 1.0, ... 99.5) which is the correction of the characteristic amount. .

The sweating maximum value prediction mode 352 predicts the maximum prediction value Gpmax by the following expression (2).

Gpmax = b ₀ × G ₀ + b _0.5 × G _0.5 + b _1.0 × G _1.0 + ... + b _99.5 × G _99.5 (2)

Among them, b _i (i = 0, 0.5, 1.0, ... 99.5) is a weight with respect to the measured sweat value G _i (i = 0, 0.5, 1.0, ... 99.5) which is the correction of the characteristic amount. .

In this way, the minimum predicted value Gpmin and the maximum predicted value of the mental sweat amount in the maximum period ΔTmax of the main process predicted by the prediction section 50 are continued using the predicted sweat amount minimum prediction mode 351 and sweat amount maximum prediction mode 352 that have been completed. Gpmax is memorized in the memory section 35. After the min-max prediction process is completed, the control unit 30 proceeds to step S50 in FIG. 18 to execute the sweat amount determination process.

In this embodiment, the sweat amount determination process is performed as described above, after the time Tc (100 seconds from the start of the main process) of the predictive characteristic amount measurement period Tc, which reaches the maximum and reaches the first timeout. The time period Td (after 180 seconds has elapsed since the start of the main process) is performed. That is, the sweat amount determination process is started after 100 seconds have elapsed after the main process is started, and up to 180 seconds have elapsed after the main process has been started.

When the specific content of the sweat amount determination process is described, when the sweat amount determination process is performed, the sweat amount measurement unit 33 measures the user's mental sweat amount Qs at a predetermined sampling cycle. Here, a case where the sampling period for measuring the user's mental sweat amount Qs in the sweat amount determination process is set to 500 ms will be described as an example, but the sampling period is not particularly limited. In addition, the sweat amount measurement section 33 obtains the elapsed time T _i (i = 0, 0.5, 1.0, ... 99.5) from the timing section 39 after the main processing is started, thereby taking a predetermined sampling period (here, 500 ms) ) Measure the amount of mental sweat of the user.

In the sweat amount determination processing, the measurement value of the mental sweat amount Qs of the user measured by the sweat amount measurement section 33 is corrected by the processing section 51. Specifically, the processing unit 51 performs a correction process of dividing the measured value of the mental sweat amount Qs by the initial reference sweat amount G # max obtained when the power is turned on to calculate the corrected sweat amount measurement value. G. In addition, the processing unit 51 performs scaling processing on the calculated corrected sweat amount measurement value G using the minimum predicted value Gpmin and the maximum predicted value Gpmax memorized in the storage unit 35.

Here, the processing unit 51 performs the min-max scaling process by using the minimum predicted value Gpmin stored in the storage unit 35 as a predetermined first value and the maximum predicted value Gpmax as a second value. Here, the second value is set to a value larger than the first value. Here, a case where the first value is set to 0 and the second value is set to 1 will be described as an example.

When performing the min-max scaling process, the processing unit 51 substitutes the corrected sweat amount measurement value G _i (i = 100, 100.5, 101, ... 180) in the following formula (3), and borrows The calculated min-max scaled scaled sweating value Gt _i (i = 100, 100.5, 101, ... 180) is calculated.

Gt _i = (G _i -Gpmin) / (Gpmax-Gpmin) (3)

The scaled sweating amount measurement value Gt _i calculated by the processing unit 51 is compared with the determination threshold set by the setting unit 36. When the scaled sweating amount measurement value Gt _{i has} not reached the judgment value, When the threshold value is reached, it is judged that the user's state transitions to a low-pressure state. Here, the setting unit 36 sets the threshold value for determination to a range from the first value (the minimum predicted value Gpmin) to the second value (the maximum predicted value Gpmax). As described above, in this embodiment, the first value (the minimum predicted value Gpmin) is set to 0, the second value (the maximum predicted value Gpmax) is set to 1, and all of them are detected within the sweat amount determination period ΔTmj. The measured value of the measured perspiration amount of the user (specifically, the corrected sweat amount measurement value G) is scaled. Therefore, the setting unit 36 sets the threshold for judgment to a value of 0 or more and 1 or less.

In the sweat amount determination process, the determination unit 38 scales the sweat amount measurement value Gt _i to the ratio obtained at a predetermined sampling period (500 ms in this example) for each time according to the sweat amount determination period ΔTmj. The judgment threshold value is compared to determine whether or not the sweating measurement value Gt _i after the scaling is completed has not reached the judgment threshold value. Then, when it is confirmed that the scaled sweating measurement value Gt _{i has} not reached the threshold value for determination, the main processing is terminated, and the user is notified (notified) of the pressure relief completion notification.

On the other hand, in the sweat amount determination processing, even if the sweating measurement value Gt _{i is} not reduced to the threshold for determination, the preset first time has elapsed from the start of the main processing. At the time-out time ΔTto, the control unit 30 ends the main process forcibly due to the time-out. Specifically, the determination unit 38 obtains the elapsed time from the timing unit 39 after the main process is started. The determination unit 38 determines whether the acquired elapsed time exceeds a predetermined first time-out time ΔTto. The first time-out time ΔTto is set as a preset fixed time (180 seconds) in this control example, but the length of the first time-out time ΔTto can also be changed according to the setting set by the user.

Furthermore, the above-mentioned notification of completion of stress relief is a notification for notifying the user that the tension in the sympathetic nervous system of the user has been eased, and that the state where the stress has been sufficiently relieved has been reached. The pressure release completion notification is the same as in the first embodiment. The light emission control unit 37 can also control the power supply from the power source 23 to the light emitting element 43 and use a predetermined light emitting pattern to cause the light emitting element 43 to notify the user.

Here, FIG. 19 is a flowchart showing the processing content of the sweat amount determination processing of the main processing of the implementation mode 3. In step S501 shown in FIG. 19, the sweat amount measurement unit 33 determines whether or not it is the measurement time point for measuring the mental sweat amount Qs of the user. The sweat amount measurement section 33 obtains the elapsed time from the timing section 39 after the start of the main process (prediction characteristic amount measurement process), thereby measuring the user's mental sweat amount at a predetermined sampling cycle. In step S501, when it is determined that it is a measurement time point, it proceeds to step S502, and when it is determined that it is not a measurement time point, it returns to step S501.

In step S502, the determination unit 38 determines whether or not the user is currently performing a suction operation based on the detection result of the suction operation (suction operation) of the air pressure acquisition unit 31. In this step, when it is determined that the user is currently in the tasting action, the process proceeds to step S503, and when it is determined that the user is not in the tasting action, the process returns to step S501.

In step S503, the sweat amount measurement unit 33 measures the mental sweat amount Qs of the user. Next, in step S504, the processing unit 51 calculates the correction to complete the sweat measurement by dividing the measurement value of the user's mental sweat amount Qs measured by the sweat amount measurement unit 33 by the initial reference sweat amount G # max. Setting value G. Here, when the corrected sweat amount measurement value G is calculated, in order to smooth the series of data when the user's mental sweat amount Qs is measured, a moving average may be performed on the measured value of the mental sweat amount Qs. The calculation process is performed and the mental sweating amount Qs after moving average processing is divided by the initial reference sweating amount G # max to calculate the corrected sweating amount measurement value G.

Next, in step S505, the processing unit 51 performs the minimum predicted value Gpmin memorized in the memory unit 35 as the predetermined first value and the maximum predicted value Gpmax as the second value to perform the correction on the measured sweating amount. G min-max scaling processing, and calculated The measured sweat value Gt is scaled. The measured sweat value Gt after the scaling is completed can be calculated according to the above-mentioned formula (3).

Next, in step S506, the determination unit 38 determines whether or not the scaled sweating measurement value Gt has not reached the threshold for determination. In step S506, when it is determined that the scaled sweating measurement value Gt has not reached the threshold for determination, it proceeds to step S507, and when it is judged that the scaled sweating measurement value Gt is above the threshold for determination. Go to step S509.

In step S507, the light emission control unit 37 notifies (notifies) the user of the pressure relief completion notification. For example, the light emission control unit 37 controls the supply of electric power from the power source 23 to the light emitting element 43 and causes the light emitting element 43 to emit light using a predetermined light emitting pattern, thereby notifying the user of the pressure storage completion notification. When the processing of step S507 ends, the process proceeds to step S508.

In step S508, the motor control unit 34 supplies power from the power source 23 to the vibration motor 41, and operates (drives) the vibration motor 41, thereby performing awake processing. The awake process is a process in which the user is given a vibration stimulus (small pressure) caused by the wooden case 13 driven by the vibration motor 41 to raise the user's awake level. By performing the sober processing that raises the level of sobriety, the user is awakened to a state of consciousness rather than a state of dimness of the user's consciousness.

There is no particular limitation on the driving pattern of the vibrating motor 41 or its continuation period. For example, in the wake-up process, the vibration motor 41 may be driven intermittently. For example, a plurality of cycles of the vibration time for driving the vibration motor 41 and the rest time for stopping the driving may be repeated. At this time, the vibration time and the rest time of the vibration motor 41 may be changed in each cycle. For example, the vibration time and the rest time of the vibration motor 41 in the first cycle of the awake process are set to 200 ms, respectively. After the second cycle, the vibration time and the rest time may be set to each 20ms shorter. In the awake process, the awake process is completed at a point in time when a predetermined number of cycles are completed, or a certain time has elapsed from the start of the awake process, and the control flow shown in FIG. 19 is ended. In addition, in this embodiment, as in the embodiment 1, in the wakefulness processing, a method other than the stimulation of vibration can be used to increase the user's wakefulness level. For example, the user may be awakened by making the light-emitting element 43.

In addition, the sobriety process can have a different pattern according to the remaining amount of the battery 230, and also has an alarm function of the remaining amount of the battery. For example, in the sober processing in which the remaining amount of the battery 230 is sufficient, the light-emitting element 43 may be lighted to a predetermined first color (for example, blue), and the vibration motor 41 may be made to have a predetermined vibration state ( For example, after a few cycles (for example, four cycles) of "200ms vibration + 200ms pause", the operation of the vibration motor 41 is ended, and then the light emitting element 43 is turned off. In addition, in the sober processing in a state where the remaining amount of the battery 230 is small, the light-emitting element 43 may be lighted to a predetermined second color (for example, red) while the vibration motor 41 may be made to have a predetermined vibration pattern (for example, After a few cycles (for example, five cycles) of "200ms vibration + 200ms rest"), the operation of the vibration motor 41 is ended, and the light emitting element 43 is turned off. In addition, the above-mentioned aspect is an example and can be changed suitably.

Further, in step S506 of the sweating amount determination processing, when it is determined that the sweating measurement value Gt whose scaling is completed is equal to or more than the threshold for determination, when the process proceeds to step S509, the determination unit 38 determines the start of the main processing. Whether the elapsed time Ti from the hour (time Tb shown in FIG. 17) has passed the preset predetermined first time-out time ΔTto. In this control example, although the first timeout time ΔTto is set to 180 seconds, the user can also change the setting of the first timeout time ΔTto. The judging unit 38 can obtain the elapsed time T _i from the start of the main process by the timer unit 39.

In step S509, when the elapsed time after the start of the main process determines T _i has not elapsed when the first timeout △ Tto, the processing returns to step S501, the repeated processing of steps S501 to S506. Then, in step S509, when it is determined that the elapsed time T _i after the start of the main processing has passed the first time-out time ΔTto, the process proceeds to step S510 to notify the user of the time-out notification for conveying the intention of time-out. For example, the light-emission control unit 37 causes the light-emitting element 43 to emit light by using a predetermined light-emission pattern, thereby allowing the timeout notification. When the execution of the overtime notification ends, the control flow shown in FIG. 19 is ended.

As described above, according to the main process (sweat state determination control) of the stress degree analysis control of the present embodiment, based on the prediction feature amount measurement period ΔTmp set to a period shorter than the main process continued maximum period ΔTmax. Temporal changes in the measured amount of mental sweat of the user, and the minimum value of the sweat amount prediction mode 351 and the maximum value of the sweat amount prediction mode 352 can predict the minimum amount of mental sweat of the user that will change over time in the future. Value and maximum. In addition, using the minimum and maximum values of the user's mental sweating amount predicted based on the prediction mode described above, the mentality of the user measured in the sweating amount determination period ΔTmj after the prediction characteristic amount measurement period ΔTmp is used. The measured value of the amount of sweat is scaled, so that even if the characteristics of the perspiration of each user are greatly changed, the ratio obtained in the sweat amount determination period ΔTmj can be scaled to complete the amount of sweat The fluctuation range of the measured value Gt is narrowed to a certain extent. According to the main processing (sweating state determination control) of the degree of stress analysis and control according to this embodiment, as described above, by using an algorithm that reduces the personal difference in the characteristics of the change in the amount of mental sweat, even when it is used for sweating, When the threshold for determination of the amount determination processing is set to a fixed value, the proportion of cases where notification is notified of overtime will become too high, but can be suppressed at After the sweating amount determination process is started, the proportion of the cases in which the notification of the completion of the pressure relief is notified becomes too high, and the taster 1 having good usability can be realized.

FIG. 20 is a graph showing the time lapse of the sweat amount measurement value Gt when the scaling is performed when a plurality of users (inspection objects) using the sucker 1 perform pressure degree analysis control. FIG. 21 is a graph showing the time lapse of the correction-completed sweat amount measurement value G when the pressure degree analysis control is performed on a plurality of users who use the sucker 1. FIG. The corrected sweating measurement value G in Fig. 21 is a value obtained by dividing the measured value of the user's mental sweating by the initial baseline sweating amount G # max, and using the minimum sweating prediction mode 351 and the sweating maximum The scaling processing of the minimum value and the maximum value of the mental sweat amount predicted by the value prediction mode 352 is not performed. In addition, the scaled completed sweat amount measurement value Gt shown in FIG. 20 and the corrected completed sweat amount measurement value G shown in FIG. 21 are based on the spirit measured by the same plurality of test subjects (11 persons). Calculated by the measured value of the amount of sexual sweat.

Comparing Figures 20 and 21, we can see that only the amount of mental sweat The correction of the measured sweat value G obtained by dividing the measured value by the initial baseline sweat amount G # max is the result of each test object (personal difference) when the elapsed time after the main process is started is the same time. The variation is large (refer to Figure 21). On the other hand, it can be seen that the scaled sweating measurement value Gt shown in FIG. 20 is a variation generated by each test object (personal difference) when the elapsed time after the main process is started is the same time, Compared to the correction-completed sweating measurement value G shown in FIG. 21, it is smaller.

In the corrected sweating amount measurement value G shown in FIG. 21, compared with the situation evaluated by the scaling sweating amount measurement Gt, the variation due to personal differences is large, so it will be used for sweating. When the judgment threshold for the quantity judgment process is set to a fixed value, The tendency of most test subjects to be judged to be a low-pressure state immediately after the sweating amount determination process is started in the state of being overtime or conversely with a small number of times of ingestion. For example, when the sweat amount measurement value G is corrected using the correction shown in FIG. 21 and the judgment threshold for sweat amount determination processing is set to about 0.6, most of the test objects will be timed out. Conversely, if the judgment is used, If the threshold is increased to about 0.9, even if the amount of mental sweating is actually only reduced by 10% from the initial baseline sweating amount G # max, there is no concern about this. The test object is easily judged as having a tendency to a low pressure state.

In contrast, when the sweat amount determination process is performed using the sweat amount measurement value Gt shown in the scaling shown in FIG. 20, for example, when the judgment threshold value for the sweat amount determination process is set to about 0.2, it is large. Most of the subjects will not cause timeout, and the scaled sweating measurement value Gt will not be lower than the threshold for judgment (here 0.2) immediately after entering the sweating judgment period △ Tmj. The subject was notified of the completion of the stress relief in a state where the tasting action was sufficient and the stress was actually eliminated. That is, according to the analysis and control of the degree of stress according to this implementation form, even if the characteristics of the perspiration of each user vary, most users will not cause a timeout, and the pressure can be effectively eliminated. In this state, the user is notified of the pressure relief completion notification, and has very good ease of use.

In addition, the control unit 30 of the taster 1 implementing the mode 3 may also have a learning processing unit, which is based on the measurement of the amount of mental sweat of the user measured by the control unit 30 during the analysis and control of the stress level. Value, the sweating minimum value prediction mode 351 and sweating maximum value prediction mode 352 stored (memorized) in the memory unit 35 are updated. That is, the learning processing unit can also use mechanical learning with the sweating minimum learning data as the teacher's data to predict the transition of the user's mental sweating amount during the measurement period of the characteristic amount for prediction △ Tmp and the maximum period during which the main processing continues. △ Tmax learns (training) the correlation of the minimum value of the user ’s mental sweating amount, thereby modifying the coefficient of the weight a _i of formula (1), and updating the minimum sweating amount prediction model 351, which has the smallest sweating amount The value learning data is the transition between the measured value of the user's mental sweating amount during the measurement of the characteristic amount for prediction △ Tmp obtained when the user uses the inhaler 1 and the user who has continued the maximum processing period △ Tmax. The minimum value of the measured value of the amount of mental sweating corresponds to the one obtained.

Similarly, the learning processing unit can also use mechanical learning with the sweating maximum learning data as the teacher's data to predict the transition of the user's mental sweat during the measurement period of the characteristic amount for prediction △ Tmp and the maximum period during which the main processing continues. △ Tmax learns (training) the correlation of the maximum value of the user's mental sweating, thereby modifying the coefficient of the weight b _i of formula (2), and updating the maximum sweating prediction model 352, which is the maximum sweating The value learning data is the transition between the measured value of the user's mental sweating amount during the measurement of the characteristic amount for prediction △ Tmp obtained when the user uses the inhaler 1 and the user who has continued the maximum processing period △ Tmax. The maximum value of the measured value of the amount of mental sweating corresponds to the one obtained.

Furthermore, the minimum sweat amount prediction mode 351 and the maximum sweat amount prediction mode 352 stored in the memory 35 are not necessarily prediction modes constructed (generated) by mechanical learning, and may be constructed by other methods. Forecasting mode.

Further, in the main process (sweating state determination control) for implementing the stress level analysis control of the mode 3, the measured value of the user's mental sweating amount measured during the sweating amount determination period ΔTmj (specifically, After the correction of the sweat amount measurement value G), the minimum predicted value Gpmin predicted by the prediction unit 50 is set to the first value ("0" in the above example), and the maximum predicted value Gpmax predicted by the prediction unit 50 is set Is the second value ("1" in the above example) to perform Since the min-max scaling process is performed, the threshold value for determination is set within a range from the first value to the second value, but it is not limited to this.

For example, when the min-max scaling process is not performed on the measured value of the user's mental sweat during the sweat amount determination period ΔTmj, the setting unit 36 is the minimum predicted value that the prediction unit 50 can predict. The range above Gpmin and below the maximum predicted value Gpmax sets the threshold for determination. In this case, the unit of the amount of mental sweat and the threshold value for judgment is not particularly limited. For example, when the minimum predicted value Gpmin predicted by the prediction unit 50 is 0.6 [μS] and the predicted maximum predicted value Gpmax is 2.5 [μS], the determination threshold value applicable to the sweat amount determination process may be set to 0.6 [μS] or more and 2.5 [μS] or less. For example, the threshold value for determination may be set to the average of the minimum predicted value Gpmin and the maximum predicted value Gpmax. According to the main process (sweating state determination control) of the stress degree analysis control of the present embodiment, since the judgment threshold is set in the range of the minimum predicted value Gpmin and the maximum predicted value Gpmax predicted by the prediction unit 50, The threshold value for judgment can be set to an appropriate value because it is greatly affected by the variation of the fluctuation characteristics of the perspiration amount of each user.

As described above, in the main process (sweating state determination control) of the present embodiment, before the sweat amount determination process is started, the prediction unit 50 can execute the min-max prediction process to predict that the main process will continue to be at its maximum period ΔTmax ( The variation range (minimum predicted value Gpmin ~ maximum predicted value Gpmax) of the user's mental sweat during the entire period of the judgment target period. That is, based on the user's mental sweating and each prediction mode 351, 352, which is continuously measured based on the prediction feature amount measurement period ΔTmp which is shorter than the main process continued maximum period ΔTmax (judgment target period), each prediction mode 351, 352 Appropriately predicts the future mentality after △ Tmp during the measurement of the characteristic amount for prediction The range of perspiration. Therefore, the determination threshold value for determining the mental sweating state of the user can be set to an appropriate size.

In addition, according to the main processing (sweat state determination control) of the analysis of the degree of stress in this embodiment, the min-max ratio is used to measure the measured value of the user's mental sweat during the sweat amount determination period ΔTmj The scaling process can further reduce the influence of the non-uniformity of the fluctuation characteristics of the amount of mental sweat caused by each user, and can provide the taster 1 with excellent usability.

In addition, in the sweating state determination processing of the stress degree analysis control of this embodiment, when the min-max scaling process is performed, the minimum predicted value Gpmin predicted by the prediction unit 50 is set to 0 as the first value. The example is explained and the case where the maximum predicted value Gpmax is set to 1 as the second value is described, but the combination of the first value and the second value is not limited to a specific value.

Further, in the embodiment 3, an application example in which the sweating state determination device of the present invention including a control unit is mounted on the taster 1 has been described, and the control unit is based on the output value of the sweat amount measuring electrode throughout the entirety. During the determination period, the user's mental sweating amount is continuously measured, and the sweating state determination control for determining the user's mental sweating state is performed based on the comparison between the measured mental sweating amount and the judgment threshold value. The application object of the sweating state determination device of the present invention is not limited to the taster 1. For example, the sweating state determination device having the control unit 30 that executes the main processing (sweating state determination control) of the embodiment may be applied to a health appliance or a polygraph. The following describes a modification example in which the sweating state determination device according to the third embodiment is applied to a device other than a sucker.

<Modification of Implementation Mode 3>

In the first modification, a case where the sweating state determination device described in the third embodiment is applied to a massage machine which is an example of a health appliance will be described. In addition, the same reference numerals are given to the configurations that are common to the above-mentioned embodiments, and detailed descriptions are omitted.

Fig. 22 is a diagram showing a massage machine 50 according to a first modification of the third embodiment. The massage machine includes a back massage unit 51, a seat portion 52, a foot support portion 53 provided in front of the seat portion 52, a backrest 54 standing upright behind the seat portion 52, and the like. The back massage unit 51 is provided on the backrest 54 and can adopt a publicly known structure. For example, the back massage unit 51 includes a treatment member 510 that massages a user's shoulders, back, and waist, and is configured to be movable up and down along the backrest 54.

The armrest 55 of the massager 50 includes a storage bag 56, and the remote control 60 is stored in the storage bag 56. The storage bag 56 is held on the armrest 55 by a strap 57.

FIG. 23 is a schematic diagram of a remote controller 60 that also includes a sweating state determination device according to a first modification of the third embodiment. Reference numeral 61 denotes a casing of the remote controller 60. The symbol 62 shown in FIG. 23 is an operation button, and the symbol 63 is a liquid crystal display 63. The operation button 62 is operated by the user to operate the back massage unit 51, or the pressure level analysis control described in the third embodiment is performed. In addition, as shown in FIG. 23, the mental sweat amount measurement electrodes 26 and 27 are arranged on the casing 61 of the remote controller 60 so as to be exposed to the outside. In the example shown in FIG. 23, the electrode for measuring perspiration amount 26 is arranged on the upper side of the case 61, and the electrode for measuring perspiration amount 27 is placed on the front side of the case 61. In addition, an electronic substrate 21, a battery, and the like similar to those in the third embodiment are housed in the casing 61.

FIG. 24 is a block diagram of the remote controller 60 according to the first modification of the third embodiment. A control section serving as a control unit for controlling the remote controller 60 is mounted on the electronic substrate 21 of the remote controller 60 30. The electronic substrate 21 of the remote controller 60 has the same function as the electronic substrate 21 of the third embodiment shown in FIG. 16. As shown in FIG. 24, the remote controller 60 includes a power source 23, a vibration motor 41, a light-emitting element 43, and the like (the illustration is omitted in FIG. 2) in the same manner as in the third embodiment.

The massage machine 50 of this modification is configured such that a user using the massage machine 50 can perform physiological quantity measurement while holding the remote control 60. When performing the physiological quantity measurement, the control unit 30 executes the pressure described in the implementation mode 3. Degree analysis control. In addition, the remote controller 60 can measure the user's mental sweating amount, and can also measure other body weights of the user. For example, the temperature of the skin of the user or the average value may be measured by placing a thermometer or an electrode for measuring the potential of the skin of the user on the housing 61 of the remote control 60 so as to be exposed to the outside, respectively. Heartbeat count, etc.

FIG. 25 is a diagram showing a state where the user holds the remote controller 60 of the first modification of the third embodiment with both hands. The example shown in FIG. 25 is a state in which the user holds the remote control 60 in a state where the index finger of the left hand is in contact with the electrode 26 for measuring mental sweating, and the thumb is in contact with the electrode 27 for measuring mental sweating. However, the positions of the mental sweat amount measurement electrodes 26 and 27 may be changed as appropriate, and when the user holds the remote controller 60, a finger different from the above example is brought into contact with the mental sweat amount measurement electrodes 26 and 27.

The remote controller 60 of the modification 1 functions as a sweating state determination device that executes the stress level analysis control described in the third embodiment. The content of the stress degree analysis control is basically the same as that described in the implementation mode 3, and includes power-on processing and main processing. For example, the control unit 30 of the remote controller 60 starts the power-on process of the stress degree analysis control by receiving the operation of the operation button operated by the user as an opportunity. When the power-on process ends, the control unit 30 starts execution of the main process. In the main process, the control unit 30 performs the process as described in FIG. 18. Formula, the prediction feature amount measurement process, the min-max prediction process, and the sweat amount determination process are sequentially performed.

In addition, the remote controller 60 in the modification 1 is different from the taster 1 shown in FIG. 1 and does not have the suction nozzle 11. Therefore, it is not determined whether the user is in a taste state in the main process. That is, in the predictive characteristic amount measurement process of the main process, the user's mental sweat amount Qs is measured every predetermined sampling cycle, and the measured value is divided by the initial value obtained in the power-on process. The calculation process of the standard sweat amount G # max calculates the “corrected sweat amount measurement G” (G = Qs / G # max). Then, the sweat amount measurement data Dg is stored in the memory unit 35. The sweat amount measurement data Dg is obtained by correlating the calculated correction process with the sweat amount measurement value G and the elapsed time T _i from the start of the main process. By. Of course, as described in the implementation mode 3, in order to smooth the series of data of the user's mental sweating amount Qs, a moving average can also be applied to the measured value of the mental sweating amount Qs. The calculation process is performed and the mental sweating amount Qs after moving average processing is divided by the initial reference sweating amount G # max to calculate the corrected sweating amount measurement value G.

Regarding the min-max prediction process, as described in the implementation mode 3, the transition of the sweat value measurement value G is completed based on the correction processing obtained by the prediction characteristic amount measurement process, and the minimum sweat value prediction mode 351 and the maximum sweat amount The value prediction mode 352 estimates (predicts) the minimum predicted value Gpmin and the maximum predicted value Gpmax of which the user's mental sweating amount is the smallest and the maximum predicted value Gpmax during the maximum period during which the main processing continues.

The sweat amount determination process performed following the min-max prediction process is also as described in the implementation mode 3. The sweating amount determination value Gt _i is scaled at each sampling cycle of the sweat state determination period ΔTmj. At the time of the second acquisition, it is compared with the threshold for determination, and it is determined whether the sweating measurement value Gt _i after the scaling is completed does not reach the threshold for determination. The main processing is terminated at the time when it is confirmed that the sweating measurement value Gt _i is not reaching the threshold for determination, and the user is notified (notified) of the pressure relief completion notification and the above-mentioned sober processing is executed. In addition, in the case of sober processing, it is not necessary to perform it, and it may be omitted.

On the other hand, in the sweating amount determination processing, even if the sweating measurement value Gt _{i is} not reduced to the threshold for determination in the case where the scaling is completed, the control unit 30 forcibly ends the main processing in the case of a timeout. In addition, in the sweating amount determination process, since the remote controller 60 of the present modification does not have a suction nozzle, the min-max prediction process is applied to the user's mental sweating amount measured every predetermined sampling cycle. Then, the obtained scaled sweat amount measurement value Gt _{i is} compared with a determination threshold value to determine whether the user is in a very soothing state.

The remote controller 60 of this modification continuously measures the amount of mental sweat of the user who is using the massage machine 50, and can accurately determine the sweating state of the user. In addition, the user who uses the massage machine 50 is gradually soothed by being massaged by the back massage unit 51, thereby taking into consideration that the amount of mental sweating also gradually decreases over time. By applying the sweating state determination device of the present invention to such a health appliance, it is possible to appropriately determine the degree of stress (relaxation) of the user.

<Modification of Implementation Mode 3>

Next, a second modification of the implementation mode will be described. The application example of the sweating state determination device of the present invention is not limited to the massage machine 50 described in the first modification, but can also be applied to the portable inspection terminals (so-called wearable inspection terminals) shown in FIGS. 26 and 27.器). Figure 26 The illustrated portable inspection terminal 70 is, for example, a glove-type wearable inspection terminal that is worn on the user's hand, and corresponds to the sweating state determination device of the present invention. The portable inspection terminal 70 shown in FIG. 26 and FIG. 27 has a specification to be worn on the right hand of a user. FIG. 26 shows that the upper surface 70 a is mainly covered by the nails of a user wearing the portable inspection terminal 70. FIG. 27 shows the palm-side lower surface 70b mainly worn by the portable inspection terminal 70. Here, the symbols 711 to 715 refer to the thumb palm covering portion, the index finger covering portion, the middle finger covering portion, the ring finger covering portion, and the little finger covering portion covering the fingers of the user.

The portable inspection terminal 70 of this modification example includes electrodes 26 and 27 for measuring the amount of mental sweat. As shown in FIG. 26 and FIG. 27, this variation is a case in which the index finger covering portion 712 of the portable inspection terminal 70 is provided with a mental sweat amount measurement electrode 26, and the ring finger covering portion 714 is provided with a mental sweat amount The measurement electrode 27. FIG. 28 is a schematic diagram showing the internal structures of the index finger covering portion 712 and the ring finger covering portion 714 in the portable inspection terminal 70. The symbol 70c shown in FIG. 28 shows a storage portion as a space for accommodating a hand when the user wears the portable inspection terminal 70. The symbol 712a shown in FIG. 28 refers to the index finger belly covering surface of the index finger belly of the user who wears the portable inspection terminal 70. The symbol 714a refers to the ring finger covering surface of the ring finger of the user who wears the portable inspection terminal 70. The mental sweating measurement electrode 26 is disposed on the index finger covering surface 712a so as to face the receiving portion 70c of the index finger covering portion 712. When the user wears the portable inspection terminal 70, the index finger of the user The abdomen contacts the electrode 26 for measuring the amount of mental sweat. In addition, the electrode 27 for measuring the amount of mental sweat is disposed on the ring finger covering surface 714a so as to face the receiving portion 70c of the ring finger covering portion 714. When the user wears the portable inspection terminal 70, the user The abdomen of the third finger contacts the electrode 27 for measuring the amount of mental sweat. However, the measurement of mental sweating The electrodes 26 and 27 may be disposed on a finger covering portion different from the above-mentioned example. In addition, instead of being arranged on the finger covering portions of the portable inspection terminal 70, the electrodes 26 and 27 for measuring mental sweating may be disposed at a position in contact with the palm of a user wearing the portable inspection terminal 70 711 to 715. Further, as shown in FIG. 26, the upper surface 70 a of the portable inspection terminal 70 is provided with a control box 72 that houses the electronic substrate 21 and the like having the control section 30. The control box 72 is provided with an operation button 73 and a light-emitting element 43 for operating the portable inspection terminal 70.

FIG. 29 is a block diagram of a portable inspection terminal 70 according to a second modification of the implementation mode 3. FIG. Structures that are common to the above-described embodiments are denoted by the same reference numerals, and detailed descriptions are omitted. The portable inspection terminal 70 of the modified example 2 functions as a sweating state determination device of the present invention. As in the modified example 1, the control unit 30 executes stress level analysis control.

The portable inspection terminal 70 takes the opportunity to receive the operation of the operation button 73 by the user (wearer), and the control unit 30 starts the power-on process of the stress level analysis control. In addition, since the stress degree analysis control performed by the control unit 30 is the same as that of the modification 1, detailed description is omitted. According to the portable inspection terminal 70 of this modification, it is possible to continuously measure the amount of mental sweat of the user, and it is possible to appropriately determine whether the user is at a soothing or nervous level.

In addition, the portable inspection terminal 70 may be provided with various sensors for measuring the body weight of the user. For example, the portable inspection terminal 70 may include a pulse sensor, a skin temperature sensor, a pressure sensor, and the like. The user's pulse (heartbeat) can also be measured by a pulse sensor, the skin temperature (body temperature) can be measured by a skin temperature sensor, and the user's blood pressure can be measured by a pressure sensor. In addition, the portable inspection terminal 702 can be connected to an external device such as His terminal device) is provided with a wireless communication unit for transmitting biometric information on the biometrics of the user.

In addition, a program for executing each of the processes described above may be recorded on a computer-readable recording medium. Regarding the recording medium on which the program is recorded, the above processing can be performed by causing a computer to read and execute the program of the recording medium.

Here, the computer-readable recording medium refers to a recording medium that can store information such as data, programs, and the like by electric, magnetic, optical, mechanical, or chemical action, and can be read by a computer. Examples of such a recording medium that can be separated from a computer include a floppy disk, an optical magnetic disk, an optical disk, a magnetic tape, a memory card, and the like. Examples of the recording medium fixed to the computer include a hard disk drive and a ROM.

In addition, a chip composed of a memory and a processor may be provided. The memory system memorizes a program for executing each process performed by the taster of the foregoing implementation mode. The processor executes the memory stored in the memory. Program.

The present invention has been described above with reference to the above-mentioned embodiments and variations, but the present invention is not limited to the above-mentioned embodiments, and various alternative embodiments can be adopted. For example, the taster may be provided with a hardware switch capable of receiving a user's operation to switch ON or OFF of the power switch unit 32.

Claims (12)

A sweating state determination device includes: a sweating amount measuring electrode for measuring a user's mental sweating amount; and a control unit that continues for the entire predetermined determination target period based on the output value of the sweating amount measuring electrode. The user's mental sweating amount is measured, and the sweating state determination control for determining the user's mental sweating state is performed based on the comparison between the measured mental sweating amount and the judgment threshold value; the aforementioned control unit has: a memory And stores a minimum sweat amount prediction mode and a maximum sweat amount prediction mode. The minimum sweat amount prediction mode indicates the use of time-varying changes in a predetermined prediction characteristic quantity measurement period shorter than the aforementioned determination target period. Correlation between the change in the person's mental sweating amount and the minimum value of the user's mental sweating amount during the aforementioned determination period, and the maximum sweating amount prediction mode is shown in the above-mentioned prediction characteristic amount measurement The change in the amount of mental sweat of a user over a period of time is different from that of the user during the aforementioned determination period. Correlation between the maximum value of the user's mental sweating amount; the prediction unit uses the measured value of the user's mental sweating amount measured during the above-mentioned prediction characteristic amount measurement period as the feature amount, and separates them Applying to the aforementioned minimum sweat amount prediction mode and the aforementioned maximum sweat amount prediction mode, thereby respectively predicting the minimum and maximum values of the user's mental sweat during the determination target period; and the setting section, in the aforementioned prediction The minimum value of the user's mental sweating amount predicted by the Ministry during the aforementioned determination period, that is, the user who is above the minimum predicted value and is in the determination period The threshold value for determination is set within a range below the maximum value of the mental sweating amount, that is, the maximum predicted value. The sweating state determination device according to item 1 of the scope of patent application, wherein the sweating amount minimum value prediction mode is such that the user's mentality is measured during the predictive characteristic amount measurement period when the sweating state determination control is executed in advance. The change in the measured value of the sweat amount corresponds to the minimum value of the measured value of the mental sweat amount of the user during the aforementioned determination period, and the plurality of minimum sweat amount learning data is used as the teacher data, and by using the Mechanical learning of teacher data, a prediction model that completes the study of the correlation between the transition of the user's mental sweating during the prediction characteristic measurement period and the minimum of the user's mental sweating during the aforementioned determination target period The sweating maximum value prediction mode is to change the measurement value of the user's mental sweating amount during the predictive characteristic amount measurement period when the sweating state determination control is performed in advance, and to use the measurement value during the judgment target period. The maximum amount of perspiration of the person corresponding to the maximum amount of perspiration The teacher's data, and by using the mechanical learning of the teacher's data, the maximum value of the transition of the user's mental sweat during the measurement period of the prediction characteristic amount and the maximum of the user's mental sweat during the determination period The predictive model of learning completion. The sweating state determination device according to item 1 or 2 of the scope of patent application, wherein the prediction unit is based on the time point from the start of the main process to the time when the prediction feature quantity measurement period passes, based on the memory unit. The stored minimum sweat amount prediction mode and the maximum sweat amount prediction mode stored respectively predict the minimum predicted value and the maximum predicted value. The sweating state determination device according to item 1 or 2 of the scope of patent application, wherein the control unit further includes a processing unit that uses a prediction mode based on the sweating minimum value prediction model and the sweating maximum value prediction method. The model predicts the minimum predicted value and the maximum predicted value separately, sets the minimum predicted value to a first value, and sets the maximum predicted value to a second value greater than the first value, and controls the sweating status from the sweating state. The measurement value of the user's mental sweating amount measured from the time when the determination control is started to the time after the measurement period of the characteristic amount for prediction is measured is scaled. The setting section sets the determination threshold value to A fixed value that is greater than or equal to the first value and less than or equal to the second value. A method for controlling a sweating state determination device. The sweating state determining device includes: a sweating amount measuring electrode for measuring a user's mental sweating amount; and a control unit for determining the sweating amount based on the output value of the sweating amount measuring electrode. The user's mental sweating amount is continuously measured throughout the predetermined determination target period, and the sweating state determination for determining the user's mental sweating state is performed based on the comparison between the measured mental sweating amount and the judgment threshold value. Control; the control unit includes a memory unit that stores a minimum sweat amount prediction mode and a maximum sweat amount prediction mode, and the minimum sweat amount prediction mode indicates a predetermined prediction shorter than the determination target period. The correlation between the change in the amount of mental sweat of a user who changes temporally during the period with the characteristic amount and the minimum value of the amount of mental sweat of the user during the aforementioned determination period is measured, and the amount of sweat is the largest The value prediction mode is represented by the aforementioned prediction characteristics The correlation between the change in the amount of mental sweat of a user who changes temporally during the measurement period and the maximum value of the amount of mental sweat of the user during the aforementioned determination period, and the control of the sweating state determination device The method uses the measurement value of the user's mental sweating amount measured during the above-mentioned prediction characteristic amount measurement period as the feature amount, and applies it to the aforementioned sweat amount minimum prediction mode and the aforementioned sweat amount maximum prediction mode, respectively. , Thereby respectively predicting the minimum and maximum values of the user's mental sweat during the aforementioned determination period, and the predicted minimum values of the user's mental sweat during the aforementioned determination period, that is, The determination threshold is set within a range of the minimum predicted value and the maximum value of the user's mental sweat during the determination period, that is, the maximum predicted value or less. The control method of the sweating state determination device according to item 5 of the scope of the patent application, wherein the minimum sweating amount prediction mode is such that the user during the measurement of the characteristic amount for prediction during the sweating state determination control is performed in advance. The change of the measured value of the amount of mental sweating of the person corresponds to the minimum value of the measured value of the mental sweat amount of the user during the aforementioned determination period, and the plurality of minimum sweat amount learning data are used as teacher data, and borrowed The mechanical learning using the teacher data is used to complete the learning of the correlation between the transition of the user's mental sweating amount during the prediction characteristic amount measurement period and the minimum value of the user's mental sweating amount during the determination target period. In the prediction mode, the sweating maximum value prediction mode is such that a transition of a measurement value of a user's mental sweating amount during the predictive characteristic amount measurement period when the sweating state determination control is performed in advance, and the judgment target period The maximum amount of perspiration of the user's mental sweating corresponds to the maximum number of perspiration The data is used as the teacher's data, and the mechanical sweating of the user during the measurement period of the aforementioned characteristic amount of prediction is measured by the mechanical learning using the teacher's data. The prediction mode of learning completion in relation to the maximum value of the user's mental sweat during the aforementioned determination target period. The control method of the sweating state determination device according to item 5 or 6 of the scope of the patent application, wherein the control unit is a time point from the start of the sweating state determination control to a time period during which the feature amount for prediction is measured. According to the minimum sweat amount prediction mode and the maximum sweat amount prediction mode, the minimum predicted value and the maximum predicted value are respectively predicted. The control method of the sweating state determination device according to item 5 or 6 of the scope of the patent application, wherein the control unit uses the minimum value predicted by the minimum sweat amount prediction mode and the maximum sweat amount prediction mode, respectively. The predicted value and the maximum predicted value, the minimum predicted value is set to a first value, and the maximum predicted value is set to a second value larger than the first value, and from the beginning of the sweating state determination control to The measured value of the user's mental sweating amount measured after the time point of the prediction characteristic amount measurement period is scaled, and the threshold value for determination is set to the first value or more and the second value. Fixed value below the value. A control program for a sweating state determining device. The sweating state determining device includes: a sweating amount measuring electrode for measuring a user's mental sweating amount; and a control unit for determining the sweating amount based on the output value of the sweating amount measuring electrode. The user's mental sweating amount is continuously measured throughout the predetermined determination target period, and the sweating state determination for determining the user's mental sweating state is performed based on the comparison between the measured mental sweating amount and the judgment threshold value. control; The control unit includes a memory unit that stores a minimum sweat amount prediction mode and a maximum sweat amount prediction mode. The minimum sweat amount prediction mode is a measurement of a predetermined prediction feature amount shorter than the determination target period. The correlation between the change in the amount of mental sweat of a user that changes over time during a period and the minimum value of the amount of mental sweat of the user during the aforementioned determination period, and the maximum sweat prediction model is The correlation between the change in the amount of mental sweat of the user over time during the period of measuring the characteristic amount for prediction and the maximum value of the amount of mental sweat of the user during the determination period is described above. The control program causes the control unit to perform the following operation: use the measurement value of the user's mental sweating amount measured during the prediction characteristic amount measurement period as the feature amount, and apply each to the minimum sweat amount minimum value The prediction mode and the aforementioned maximum sweat amount prediction mode, respectively, thereby predicting the mental development of the user during the aforementioned determination period. The minimum and maximum values of the amount, and the minimum value of the user's mental sweating during the aforementioned determination period, that is, the minimum value of the user's mental sweating, which is above the minimum predicted value and the user's mental sweating during the determination period The operation of setting the aforementioned threshold for determination within the range of the maximum value, that is, the range below the maximum predicted value. The control program for the sweating state determination device according to item 9 of the scope of the patent application, wherein the sweating amount minimum value prediction mode is to enable a user during the predictive feature amount measurement period when the sweating state determination control is executed in advance. The change of the measured value of the amount of mental sweating of the person corresponds to the minimum value of the measured value of the mental sweat amount of the user during the aforementioned determination period, and the plurality of minimum sweat amount learning data are used as teacher data, and The mechanical learning using the teacher data is used to complete the learning of the correlation between the transition of the user's mental sweating amount during the prediction characteristic amount measurement period and the minimum value of the user's mental sweating amount during the determination target period. Prediction model, The sweating amount maximum value prediction mode is to change the measured value of the user's mental sweating amount during the predictive characteristic amount measurement period when the sweating state determination control is performed in advance, and the user in the judgment target period. The maximum perspiration amount corresponding to the maximum value of the perspiration amount of the person is used as the teacher's data, and by using the mechanical learning of the teacher's data, the user's spirit during the aforementioned measurement period of the characteristic amount for prediction is measured. The prediction model of the completion of learning related to the change in the amount of sexual sweating and the maximum value of the user's mental sweating during the aforementioned determination period. The control program of the sweating state determination device according to item 9 or 10 of the scope of the patent application, wherein the control program causes the control unit to measure from the start of the sweating state determination control to the measurement of the feature amount for prediction At the time point of the period, the minimum predicted value and the maximum predicted value are respectively predicted according to the aforementioned minimum sweat amount prediction mode and the aforementioned maximum sweat amount prediction mode. The control program of the sweating state determination device according to item 9 or 10 of the scope of the patent application, wherein the control program causes the control unit to use a prediction mode based on the minimum sweat amount prediction mode and a prediction mode based on the maximum sweat amount prediction mode, respectively. The minimum predicted value and the maximum predicted value are predicted, the minimum predicted value is set to a first value, and the maximum predicted value is set to a second value larger than the first value, and the judgment from the sweating state is controlled. Scaling processing is performed on the measured value of the user's mental sweating amount from the start of the measurement to the point in time after the measurement period of the characteristic amount for prediction, and the threshold for determination is set to be greater than the first value. In addition, it is a fixed value equal to or lower than the aforementioned second value.