CN106725322A - It is determined that the method and device in sleep critical zone - Google Patents

Abstract

The invention discloses a method and a device for determining whether a user is in a sleep critical area, relates to the field of biomedical technology, and can realize whether a user is in a sleep critical area in a non-contact detection manner. The method includes: respectively obtaining the blink frequency ranges of the user to be detected in the awake zone and the sleep zone; determining the blink frequency range between the blink frequency ranges of the wakeful zone and the sleep zone as the user to be detected being in the sleep critical zone Detect whether the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical zone; if so, determine that the user to be detected is currently in the sleep critical zone. The invention is applicable to the detection of sleep critical area.

Description

Method and device for determining sleep critical area

technical field

The invention relates to the technical field of biomedicine, in particular to a method and a device for determining a sleep critical area.

Background technique

Human beings are affected by their own biological clock, as well as the external environment, fatigue and other factors, and will enter the sleep state. The period of waking up before people enter the sleep state can be called the sleep critical zone. Everyone's sleep critical zone time is different, even for the same person at different times and states, the sleep critical zone time is also different.

At present, the user's heartbeat, respiration, and blood pressure can be detected to determine whether the user has entered the sleep critical area. However, this detection method adopts a contact detection method, that is, it needs to connect the instrument to the user's body parts, so that non-contact detection cannot be realized, which will cause the inconvenience of sleep critical area detection and cannot be adapted to some specific Scenario requirements, for example, scenarios such as detection of sleep critical areas of the driver while driving.

Contents of the invention

In view of this, the present invention provides a method and device for determining whether a user is in a critical sleep area, the main purpose of which is to determine whether a user is in a critical sleep area by means of non-contact detection.

According to one aspect of the present invention, a method for determining being in a sleep critical zone is provided, the method comprising:

Obtain the blink frequency ranges of the user to be detected in the awake zone and the sleeping zone respectively;

Determining the blink frequency range between the blink frequency ranges of the awake zone and the sleep zone as the blink frequency range of the user to be detected in the sleep critical zone;

Detecting whether the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in a sleep critical zone;

If yes, it is determined that the user to be detected is currently in the sleep critical area.

Specifically, said acquisition of blink frequency ranges in which the user to be detected is in the awake zone and the sleeping zone respectively includes:

According to the average blink data of the sample user in the awake zone and the sleeping zone, respectively determine the average blink frequency range of the sample user in the awake zone and the sleeping zone, and use it as the blink frequency range of the awake zone and the sleeping zone of the user to be detected; or

Detecting and calculating the blink frequency of the user to be detected within the preset time period, respectively obtaining the average blink frequency ranges of the user to be detected in the awake zone and the sleeping zone, and using it as the range of the average blink frequency of the user to be detected in the awake zone and sleep zone Blink frequency range in sleep zone.

Specifically, according to the average blink data of the sample user in the waking zone and the sleeping zone, respectively determining the average blink frequency ranges of the sample user in the waking zone and the sleeping zone includes:

Obtain the blink data of the sample user in the awake zone and the sleep zone respectively, the blink data includes the time of eye blink once, and the interval time between two blinks;

According to the blink data, the average blink frequency ranges of the sample user in the awake zone and the sleep zone are respectively determined.

Specifically, the detection and calculation of the blinking frequency of the user to be detected within the preset time period, respectively obtaining the average blinking frequency ranges of the user to be detected in the awake zone and the sleeping zone include:

According to the determined average blink frequency range of the sample user in the awake zone and the sleeping zone, detect the multiple blinking frequency ranges of the user to be detected collected within the preset time period, so as to obtain the average blink frequency ranges of the awake zone and the sleeping zone respectively. multiple blink frequency ranges within the blink frequency range;

The average blink frequency ranges within the average blink frequency ranges of the awake zone and the sleeping zone are respectively calculated to obtain the average blink frequency ranges of the awake zone and the sleeping zone of the user to be detected.

Specifically, the blink frequency range between the blink frequency range of the awake zone and the sleep zone, determined as the blink frequency range of the user to be detected in the sleep critical zone includes:

Determining the minimum value of the blink frequency range in which the user to be detected is in the awake zone as the maximum value of the blink frequency range in which the user to be detected is in the sleep critical zone;

The maximum value of the blink frequency range in which the user to be detected is in the sleep zone is determined as the minimum value in the blink frequency range in which the user to be detected is in the sleep critical zone.

Further, before determining that the user to be detected is currently in a sleep critical area, the method further includes:

Continuously collect a preset number of blink frequency ranges of the user to be detected for further detection;

The determining that the user to be detected is currently in a sleep critical area includes:

If the preset number of blinking frequency ranges of the users to be detected are all within the blinking frequency range of the users to be detected being in the sleep critical zone, it is determined that the user to be detected is currently in the sleep critical zone.

Further, before determining that the user to be detected is currently in a sleep critical area, the method further includes:

Obtain the current blink time and the interval between two blinks of the user to be detected for further detection;

The determining that the user to be detected is currently in a sleep critical area includes:

If it is detected that the blink time is less than the preset blink time when awake, and the interval between two blinks is outside the preset blink interval range when awake, then it is determined that the user to be detected is currently in a sleep critical area.

Further, after it is determined that the user to be detected is currently in a sleep critical area, the method further includes:

Outputting alarm information, the alarm information is used to prompt that the user to be detected is currently in a sleep critical area.

Further, after the output of the warning information, the method further includes:

Detect multiple blink frequency ranges of the user to be detected within the next preset time period;

If it is detected that multiple eye blink frequency ranges within the preset time period are all within the eye blink frequency range of the user to be detected in the awake zone, then stop outputting the warning information.

According to another aspect of the present invention, a device for determining being in a sleep critical zone is provided, the device comprising:

An acquisition unit, configured to respectively acquire blink frequency ranges in which the user to be detected is in the awake zone and the sleeping zone;

A determining unit, configured to determine the blink frequency range between the blink frequency ranges of the awake zone and the sleep zone as the average blink frequency range of the user to be detected in the sleep critical zone;

A detection unit, configured to detect whether the current blink frequency range of the user to be detected is within the blink frequency range;

The determining unit is further configured to determine that the user to be detected is currently in the sleep critical area if it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical area .

Specifically, the acquiring unit is specifically configured to respectively determine the average blink frequency ranges of the sample user in the awake zone and the sleeping zone according to the average blink data of the sample user in the awake zone and the sleeping zone, and use it as the user to be detected In the range of blink rates between the awake and sleeping zones; or

Detecting and calculating the blink frequency of the user to be detected within the preset time period, respectively obtaining the average blink frequency ranges of the user to be detected in the awake zone and the sleeping zone, and using it as the range of the average blink frequency of the user to be detected in the awake zone and sleep zone Blink frequency range in sleep zone.

Specifically, the acquisition unit includes:

The obtaining module is used to obtain the blink data of the sample user in the awake zone and the sleep zone respectively, the blink data including the time of eye blinking once, and the interval between two blinks;

The determination module is configured to respectively determine the average blink frequency ranges of the sample user in the awake zone and the sleep zone according to the blink data.

Specifically, the acquisition unit includes:

The acquisition module is configured to detect multiple blink frequency ranges of the user to be detected collected within a preset period of time according to the determined average blink frequency range of the sample user in the awake zone and the sleep zone, so as to respectively acquire the blink frequency ranges of the user in the awake zone multiple blink rate ranges within the average blink rate range for the sleep zone and the sleep zone;

The determination module is used to calculate the average value of multiple eye blink frequency ranges in the awake zone and the sleep zone, respectively, to obtain the average blink frequency range of the user to be detected in the wake zone and the sleep zone.

Specifically, the determining unit is specifically configured to determine the minimum value of the blink frequency range in which the user to be detected is in the awake zone as the maximum value of the blink frequency range in which the user to be detected is in the sleep critical zone;

The maximum value of the blink frequency range in which the user to be detected is in the sleep zone is determined as the minimum value in the blink frequency range in which the user to be detected is in the sleep critical zone.

Further, the detection unit is further configured to continuously collect a preset number of the blink frequency range of the user to be detected if it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in a sleep critical area. Blink frequency range of the user to be detected for further detection;

The determining unit is specifically configured to determine that the user to be detected currently in the sleep critical region.

Further, the detection unit is further configured to obtain the current blink time and the interval between two blinks of the user to be detected if it is detected that the current blink frequency range of the user to be detected is within the average blink frequency range time for further testing;

The determining unit is specifically configured to determine that the to-be-detected The user is currently in a sleep critical section.

Further, the device also includes:

The output unit is configured to output warning information after determining that the user to be detected is currently in the sleep critical area, and the alarm information is used to prompt that the user to be detected is currently in the sleep critical area.

Further, the detection unit is further configured to detect a plurality of blink frequency ranges of the user to be detected in the next preset time period after outputting the warning information;

The output unit is further configured to stop outputting the warning information if it is detected that a plurality of blink frequency ranges within the preset time period are all within the blink frequency range of the user to be detected in the awake zone.

With the help of the above technical solution, the present invention provides a method and device for determining whether the user is in a sleep critical area, and currently needs to connect the user's body parts with an instrument, collect the user's heartbeat, respiration, and blood pressure to analyze and detect whether the user has entered the sleep zone. Compared with the method in the sleep critical area, the present invention detects by obtaining the current blink frequency range of the user to be detected after determining that the user to be detected is in the blink frequency range of the sleep critical area. When it is determined that the blink frequency range is in the previously determined sleep frequency range When the blink frequency of the critical area is within the critical area, it is determined that the user is currently in the critical area of sleep. The entire detection process only needs to detect the blinking frequency of the user to determine whether the user has entered the critical area of sleep. The connection can achieve non-contact detection, which can be applied to the needs of some specific scenarios, and then facilitates the detection of the user's sleep critical area.

The above description is only an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention, it can be implemented according to the contents of the description, and in order to make the above and other purposes, features and advantages of the present invention more obvious and understandable , the specific embodiments of the present invention are enumerated below.

Description of drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiment. The drawings are only for the purpose of illustrating a preferred embodiment and are not to be considered as limiting the invention. Also throughout the drawings, the same reference numerals are used to designate the same parts. In the attached picture:

FIG. 1 shows a schematic flow chart of a method for determining that the user is in a sleep critical area provided by an embodiment of the present invention;

FIG. 2 shows a schematic flow chart of another method for determining that it is in a sleep critical area provided by an embodiment of the present invention;

Fig. 3 shows a schematic structural diagram of a device for determining that it is in a sleep critical area provided by an embodiment of the present invention;

FIG. 4 shows a schematic structural diagram of another device for determining that it is in a sleep critical region provided by an embodiment of the present invention.

detailed description

Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

The embodiment of the present invention provides a method for determining whether the user is in the sleep critical area, which can realize whether the user is in the sleep critical area by means of non-contact detection, as shown in Figure 1, the method includes:

101. Obtain the blink frequency ranges of the awake zone and the sleeping zone of the user to be detected respectively.

Wherein, the blink frequency range may be the range of blink times per minute of the user.

In the embodiment of the present invention, the electromagnetic waves of the body motion detection chip can be used to identify the blinking action of the user to be detected, and then the blinking frequency range of the user to be detected can be identified. Since the sensitivity of electromagnetic waves to detect blinking is high, the speed of capturing the blinking action can be improved. accuracy, and then use the method provided by the embodiment of the present invention to determine whether the user to be detected is in the sleep critical area. Specifically, the body motion detection chip can be used to detect the voltage change waveform diagram output by the user's eyes to be detected, and then sample the voltage variation waveform diagram according to the time sequence, convert it into a discrete voltage value, and obtain a predetermined number of voltage value components according to the time sequence Sampling array, the predetermined number is obtained according to the normal blinking action training, and then calculate the sum of the distances between the first voltage value in the sampling array and the other voltage values in the sampling array; finally, according to the sum of the distances in the sampling array and the front of the sampling array The size relationship between the sum of the average distances of all sampling arrays, and the size relationship between the first voltage value and the second voltage value determine whether the sampling array is eye blinking data, where the second voltage value is The voltage value at the middle position in the sampling array; if it is determined that the sampling array is eye blink data, it is determined as an eye blink, and then the blink frequency range of the user to be detected can be identified according to the recognized eye blink action.

The executor of the embodiment of the present invention may be a device that detects whether the user is in the sleep critical zone according to the collected blink frequency data of the user. For example, pre-collect the blink frequency ranges of multiple sample users when they are in the awake zone, and calculate the average value of these blink frequency ranges to obtain the blink frequency range when the human body is in the awake zone under normal circumstances, and use it as The blinking frequency range of the user to be detected is in the awake zone; similarly, the blinking frequency range of multiple samples is collected in advance when the user is in the sleeping zone, and the average value of these blinking frequency ranges is calculated to obtain the human body under normal conditions. The blink frequency range when the user is in the sleep zone, and use it as the blink frequency range when the user to be detected is in the sleep zone.

102. Determine the blink frequency range between the blink frequency ranges in the awake zone and the sleep zone as the blink frequency range in which the user to be detected is in the critical sleep zone.

For example, the blink frequency range when the user to be detected is in the awake zone is (a, b), and the blink frequency range when the user to be detected is in the sleep zone is (c, d), then (d, a) is determined as The average blink frequency range of the detected user in the sleep critical zone.

103. Detect whether the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical zone.

For example, it is determined that the blink frequency range of the user to be detected is (0.1, 12), that is, the minimum number of blinks per minute is 0.1, and the maximum number of blinks per minute is 12 times. When the current blink frequency of the user to be detected is collected When the range is (3, 9), it is determined that the blink frequency range is within the blink frequency range of the user to be detected in the sleep critical area; when the current blink frequency range of the user to be detected is collected (13, 16), it is determined that the blink The frequency range is outside the blinking frequency range of the detected user in the sleep critical region.

104. If it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected being in the sleep critical zone, determine that the user to be detected is in the sleep critical zone.

If it is detected that the current blink frequency range of the user to be detected is outside the blink frequency range of the user to be detected in the sleep critical area, then it is detected whether the current blink frequency range of the user to be detected is within the blink frequency range of the user in the sleep area, if so, Then it is determined that the user is in the sleeping area, and in some specific scenarios, such as car driving, child or elderly care, etc., corresponding prompt information can be output to wake the user up.

The embodiment of the present invention provides a method for determining whether the user is in the sleep critical area, and currently needs to connect the user's body parts to the instrument, collect the user's heartbeat, breathing, and blood pressure to analyze and detect whether the user enters the sleep critical area. In contrast, in the embodiment of the present invention, after determining the blink frequency range of the user to be detected in the sleep critical area, the blinking action of the user to be detected can be identified by using the electromagnetic wave of the body motion detection chip, and then the current blink frequency of the user to be detected can be identified. Range, and detect the current blink frequency range of the identified user to be detected. When it is determined that the blink frequency range is within the previously determined average blink frequency range, it is determined that the user is currently in the sleep critical area. The entire detection process only needs to By detecting the user's blinking frequency, it can be judged whether the user has entered the sleep critical area. It is not necessary to connect the user's body parts to the instrument, and it can achieve non-contact detection, which can be applied to the needs of some specific scenarios, and thus facilitates user monitoring. Detection of sleep critical regions.

In order to better understand the above-mentioned method shown in FIG. 1 , as a refinement and extension of the above-mentioned embodiment, the embodiment of the present invention provides another method for determining whether you are in a sleep critical area, as shown in FIG. 2 , the The methods described include:

201. Acquire blink frequency ranges in which the user to be detected is in the awake zone and the sleeping zone, respectively.

In the embodiment of the present invention, for the blink frequency range of the user to be detected in the awake zone and the sleeping zone, one way of determining is to determine the average blink data of the sample user, that is, step 201 may specifically include: according to the sample user being in the awake zone and the average blink data of the sleep zone, respectively determine the average blink frequency range of the sample user in the wake zone and the sleep zone, and use it as the blink frequency range of the user to be detected in the wake zone and the sleep zone.

Specifically, the blink data of the sample user in the awake zone and the sleep zone are obtained respectively, wherein the blink data includes the time of blinking once and the interval between two blinks; according to the blink data, it is determined that the sample user is in the wake zone and the sleep zone average blink frequency range.

For example, collect the blink data of multiple sample users in the awake zone, calculate the blink frequency ranges of these sample users in the awake zone according to the blink data, and then calculate the average value of these blink frequency ranges to obtain the blink frequency ranges of these sample users in the awake zone. The average blink frequency range, and use this average blink frequency range as the blink frequency range of the user to be detected in the awake zone; similarly, collect the blink data of multiple sample users in the sleep zone, and finally calculate the blink data of these sample users according to the blink data. The average blink frequency range of the sleeping area, and this average blink frequency range is used as the blink frequency range of the user to be detected in the sleeping area.

For the blink frequency range of the user to be detected in the awake zone and the sleep zone, another way to determine is to determine according to the blink data adapted to the actual situation of the user to be detected, that is, step 201 can also specifically include: the preset time of the user to be detected The blink frequency in the segment is detected and calculated, and the average blink frequency range of the user to be detected in the awake zone and the sleep zone is respectively obtained, and it is used as the blink frequency range of the user to be detected in the wakeful zone and the sleep zone. Wherein, the preset time period may be configured according to actual requirements.

Due to individual differences among users, each user to be detected has different eye blink frequency ranges in the awake zone and the sleeping zone. Therefore, for the user to be detected, the detection system needs a certain amount of time to read the eye blink data of the user to be detected in order to adjust the parameters , to obtain the blink frequency range adapted to the user being in the awake zone and the sleeping zone, for the embodiment of the present invention, by applying the blinking frequency range suitable for the user to be detected being in the awake zone and the sleeping zone, the obtained user to be detected is in the sleep critical zone The blink frequency range when the user is in the sleep critical state is more in line with the actual situation. The blink frequency range determined in this way when the user is in the sleep critical area can improve the accuracy of the user's sleep critical area detection.

Specifically, according to the determined average blink frequency range of the sample user in the awake zone and the sleeping zone, the multiple blinking frequency ranges of the user to be detected collected within the preset time period are detected, so as to obtain the ranges of the blinking frequency of the user in the awake zone and the sleeping zone respectively. Multiple blink frequency ranges within the average blink frequency range; respectively calculate the average of multiple blink frequency ranges within the average blink frequency range of the awake area and the sleeping area, and obtain the average blink frequency of the user to be detected in the awake area and the sleeping area scope.

For example, it is first necessary to determine the average blink frequency range when the user to be detected is in the awake zone, and when it is detected that the blink frequency range of the user to be detected is in the average blink frequency range of the sample user in the awake zone, it can be done in the following 3 Continuously collect the blink frequency range of the user to be detected within 1 minute, obtain multiple blink frequency ranges within the average blink frequency range of the awake area, and calculate the average value of these blink frequency ranges to obtain the average blink frequency of the user to be detected in the awake area Frequency range, the average blink frequency range is adapted to the actual situation when the user to be detected is awake; similarly, when it is detected that the blink frequency range of the user to be detected is within the average blink frequency range of the sample user in the sleeping area, it means that at this moment The user to be detected is already in a sleep state, and the blink frequency range of the user to be detected can be continuously collected within half an hour, from which multiple blink frequency ranges within the average blink frequency range of the sleeping area can be obtained, and these blink frequency ranges can be averaged The value is calculated to obtain the average blink frequency range of the user to be detected in the sleeping area, and the average blink frequency range is adapted to the actual situation when the user to be detected is in a sleep state.

202. Determine the blink frequency range between the blink frequency ranges in the awake zone and the sleep zone as the blink frequency range in which the user to be detected is in the critical sleep zone.

Step 202 may specifically include: determining the minimum value of the blink frequency range in which the user to be detected is in the awake zone as the maximum value of the blink frequency range in which the user to be detected is in the sleep critical zone; The maximum value is determined as the minimum value of the blink frequency range in which the user to be detected is in the sleep critical zone.

For example, the blink frequency range of the user to be detected in the awake zone is (11, 19), and the blink frequency range of the sleep zone is (0, 0.2). According to these two blink frequency ranges, it can be determined that the user to be detected is in the sleep critical zone The range of average blink frequency is (0.2, 11), that is, the minimum number of blinks per minute is 0.2 times, and the maximum number of blinks per minute is 11 times.

203. Detect whether the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical zone.

For example, it is determined that the blink frequency range of the user to be detected is in the sleep critical area (0.2, 11), and when the current blink frequency range of the user to be detected is (4, 10), it is determined that the blink frequency range is in the sleep critical area within the blink frequency range of the user to be detected; when the current blink frequency range of the user to be detected is collected as (14, 19), it is determined that the blink frequency range is outside the blink frequency range of the sleep critical area; when the current blink frequency range of the user to be detected is collected When the frequency range is (9, 12), it means that the user to be detected may be entering a critical state of sleep, but has not fully entered it. In the next period of time, the blink frequency range of the user is continuously collected for detection until the collected blink frequency range Within the blink frequency range of the sleep critical zone.

204. If it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical zone, continuously collect the blink frequency ranges of a preset number of users to be detected for further detection.

Wherein, the preset number can be set according to the actual situation of the user, for example, the preset number can be 3, 5 and so on.

205. If the blink frequency range of the preset number of users to be detected is within the blink frequency range of the user to be detected in the sleep critical zone, determine that the user to be detected is currently in the sleep critical zone.

For example, when it is detected that the current blink frequency range of the user to be detected is in the blink frequency range of the user to be detected in the sleep critical area, then three blink frequency ranges of the user are continuously collected, if the three blink frequency ranges are all Within the blink frequency range of the detected user being in the sleep critical zone, it is determined that the user is currently in the sleep critical zone.

Through this way of multiple checks, the detection accuracy of the sleep critical area can be improved. It should be noted that, in addition to the multiple checks of steps 204 and 205, in order to check the accuracy of the sleep critical area detection , when it is detected that the current blink frequency range of the user to be detected is in the blink frequency range of the user to be detected in the sleep critical area, the current blink time of the user to be detected and the interval between two blinks can also be obtained for further detection; if If it is detected that the blink time is less than the preset blink time when awake, and the interval between two blinks is outside the preset blink interval range when awake, then it is determined that the user to be detected is currently in the sleep critical area. Wherein, the preset waking blink time and the preset waking blink interval range can be obtained by calculating average values based on the blinking times and the interval between two blinks of multiple sample users in the waking state.

When the human body is tired or sleepy, the time for blinking once is too long, and the time interval between two blinks is also shortened. This verification method can further detect the current state of the user to be detected. Whether the user is in a non-awake state, if it is detected that the user is currently in a non-awake state, it means that the user is indeed in the sleep critical area, which ensures the accuracy of the detection of the sleep critical area. For example, the preset blink time when awake is 1.5 seconds, and the preset blink interval when awake is in the range of 3 seconds to 5 seconds. When it is detected that the current blink time of the user to be detected is 1 second, and the user to be detected The interval between the current two blinks is 6 seconds, indicating that the user is currently in a non-awake state.

206. Output alarm information.

Wherein, the warning information is used to prompt that the user to be detected is currently in the sleep critical area. The alarm information can be text alarm information, picture alarm information, audio alarm information, video alarm information, etc. For example, in the scene of car driving, the real-time detection of the driver is carried out. By collecting the blink frequency range of the driver, it is detected whether the driver is in the sleep critical area. When in the sleep critical area at all times, in order to ensure the driving safety of the car, the audio device in the car can output audio warning information, and then the driver can be woken up in time to pay attention to driving, ensuring the driving safety of the car.

207. Detect multiple blink frequency ranges of the user to be detected within the next preset time period.

Among them, the preset time period can be set according to actual needs, for example, after outputting the warning information, when the collected blink frequency range is within the blink frequency range of the user in the awake zone, within the next 3 minutes , continuous acquisition of multiple blink frequency ranges.

208. If it is detected that multiple eye blink frequency ranges within the preset time period are all within the eye blink frequency range of the user to be detected to be in the awake zone, stop outputting the warning information.

If it is detected that multiple blink frequency ranges within the preset time period are within the blink frequency range of the user to be detected in the awake zone, it means that the user to be detected has recovered to the awake state at this time, and the output of the alarm information can be stopped.

Another method for determining whether the user is in the sleep critical area provided by the embodiment of the present invention is related to the current need to connect the user's body parts to the instrument, collect the user's heartbeat, respiration, and blood pressure to analyze and detect whether the user enters the sleep critical area Compared with other methods, the embodiment of the present invention only needs to detect the blinking frequency of the user to determine whether the user has entered the sleep critical area. It does not need to connect the instrument to the user's body parts, and can achieve non-contact detection, which is convenient. The detection of the user's sleep critical area; and no video image analysis is required, which can reduce the detection cost of the sleep critical area.

Further, as a specific implementation of the method described in FIG. 1 , an embodiment of the present invention provides a device for determining that it is in a sleep critical area. As shown in FIG. 3 , the device includes: an acquisition unit 31 , a determination unit 32 , and a detection unit 33 .

The acquiring unit 31 may be configured to respectively acquire blink frequency ranges in which the user to be detected is in the awake zone and the sleeping zone. The acquisition unit 31 is the main functional module in the device to acquire the blink frequency range of the user to be detected, wherein the blink frequency range may be the range of the user's blink times per minute. After obtaining the range of blinking frequency in which the user to be detected is in the awake zone and the sleeping zone, the trigger determining unit 32 works.

The determination unit 32 may be configured to determine the blink frequency range between the blink frequency ranges of the awake zone and the sleep zone as the average blink frequency range of the user to be detected in the critical sleep zone. For example, the blink frequency range when the user to be detected is in the awake zone is (A, B), and the blink frequency range when the user to be detected is in the sleep zone is (C, D), then (D, A) is determined as The average blink frequency range of the detected user in the sleep critical zone.

The detection unit 33 may be configured to detect whether the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in a sleep critical zone. The detection unit 33 is the main functional module for detecting the sleep critical area in the device, and finally determines whether the user to be detected is currently in the sleep critical area according to the detection result.

The determining unit 32 may also be configured to determine that the user to be detected is currently in a critical sleep state if it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in a sleep critical area. area. For example, it is determined that the blink frequency range of the user to be detected is (0.1, 12) in the sleep critical area, and when the current blink frequency range of the user to be detected is (4, 8), it is determined that the user to be detected is currently in the sleep critical area .

It should be noted that, for other corresponding descriptions of the functional units involved in the device for determining the device in the sleep critical area provided by the embodiment of the present invention, reference may be made to the corresponding description in FIG. 1 , which will not be repeated here.

An embodiment of the present invention provides a device for determining the sleep critical area, including: an acquisition unit, a determination unit, and a detection unit, which are connected to the current equipment that needs to be connected to the user's body parts, and collect the user's heartbeat, respiration, and blood pressure for analysis Compared with the method of detecting whether the user enters the sleep critical area, the embodiment of the present invention determines the blink frequency range of the user to be detected in the sleep critical area in the determination unit, and obtains the current blink frequency range of the user to be detected by the acquisition unit for detection. When the detection unit detects that the blink frequency range is within the blink frequency range previously determined for the sleep critical area, it is determined that the user is currently in the sleep critical area, and the entire detection process only needs to detect the user's blink frequency to determine whether the user has entered In the sleep critical area, there is no need to connect the instrument to the user's body parts, and non-contact detection can be achieved, thereby facilitating the detection of the user's sleep critical area.

Further, as a specific implementation of the method described in FIG. 2 , the embodiment of the present invention provides another device for determining that it is in a sleep critical area. As shown in FIG. 4 , the device includes: an acquisition unit 41, a determination unit 42, a detection unit Unit 43.

The acquiring unit 41 may be configured to respectively acquire blink frequency ranges in which the user to be detected is in the awake zone and the sleeping zone.

The determination unit 42 may be configured to determine the blink frequency range between the blink frequency ranges of the awake zone and the sleep zone as the average blink frequency range of the user to be detected in the critical sleep zone.

The detection unit 43 may be configured to detect whether the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in a sleep critical zone.

The determination unit 42 may also be configured to determine that the user to be detected is currently in the sleep critical area if it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical area .

The acquisition unit 41 can be specifically configured to determine the average blink frequency ranges of the sample user in the awake zone and the sleep zone respectively according to the average blink data of the sample user in the awake zone and the sleep zone, and use it as the range of the average blink frequency of the user to be detected. Blink frequency range of awake zone and sleeping zone, that is, determine the blinking frequency range of the user to be detected in the awake zone and sleeping zone according to the average blink data of the sample user; or detect the blinking frequency of the user to be detected within a preset time period Calculate and obtain the average blink frequency range of the user to be detected in the awake zone and the sleep zone respectively, and use it as the blink frequency range of the user to be detected in the wakeful zone and the sleep zone, that is, according to the actual situation of the user to be detected The eye blink data of the situation determines the eye blink frequency range in which the user to be detected is in the awake zone and the sleep zone.

Specifically, the acquiring unit 41 includes: an acquiring module 411 and a determining module 412 .

The acquisition module 411 can be used to respectively acquire the blink data of the sample user in the awake zone and the sleep zone, the blink data includes the time for one eye blink and the interval time between two blinks.

The determination module 412 may be configured to respectively determine the average blink frequency ranges of the sample user in the awake zone and the sleep zone according to the blink data.

The acquisition module 411 can also be configured to detect multiple blink frequency ranges of the user to be detected collected within a preset period of time according to the determined average blink frequency range of the sample user in the awake zone and the sleep zone, so as to respectively Get multiple blink rate ranges within the average blink rate range for the awake and sleeping zones.

The determination module 412 can also be used to calculate the average value of multiple eye blink frequency ranges within the average blink frequency ranges of the awake area and the sleeping area, respectively, to obtain the average blink frequency range of the user to be detected who is currently in the awake area and the sleeping area .

For the embodiment of the present invention, by applying the range of blink frequency for the user to be detected in the awake zone and the sleep zone, the obtained blink frequency range when the user to be detected is in the sleep critical zone is more in line with the actual situation that the user to be detected is in the sleep critical state , the accuracy of detection of the user's sleep critical zone can be improved by determining the blink frequency range when the user is in the sleep critical zone in this way.

The determining unit 42 may be specifically configured to determine the minimum value of the blink frequency range in which the user to be detected is in the awake zone as the maximum value in the blink frequency range in which the user to be detected is in the sleep critical zone; The maximum value of the blink frequency range in which the user is detected to be in the sleep zone is determined as the minimum value of the blink frequency range in which the user to be detected is in the critical sleep zone.

The detection unit 43 may also be configured to continuously collect a preset number of blinking frequency ranges of the user to be detected if it is detected that the current blinking frequency range of the user to be detected is within the blinking frequency range of the user to be detected being in a sleep critical area. Detect the user's blink frequency range for further detection.

The determining unit 42 may be specifically configured to determine that the user to be detected has a blinking frequency range if the predetermined number of users to be detected have blinking frequency ranges within the blinking frequency range of the user to be detected in a sleep critical zone. The user is currently in a sleep critical section. Through this way of multiple inspections, the detection accuracy of the sleep critical area can be improved.

The detection unit 43 may also be configured to obtain the current blinking time of the user to be detected if it is detected that the current blink frequency range of the user to be detected is within the blink frequency range of the user to be detected in the sleep critical zone and the interval between two blinks for further detection.

The determination unit 42 can be specifically configured to determine that the blink time is less than the preset blink time when awake, and the interval between two blinks is outside the preset blink interval range when awake. The user to be detected is currently in the sleep critical area. Through this verification method, it can be further detected whether the user to be detected is currently in a non-awake state. If it is detected that the user is currently in a non-awake state, it means that the user is indeed currently in the sleep critical area, which ensures the accuracy of sleep critical area detection.

Further, in order to promptly remind the user to be detected that the user is currently in the sleep critical zone, the device further includes: an output unit 44 .

The output unit 44 may be configured to output warning information after it is determined that the user to be detected is currently in the sleep critical area, and the alarm information is used to prompt that the user to be detected is currently in the sleep critical area.

The detecting unit 43 may also be configured to detect multiple blink frequency ranges of the user to be detected within a next preset time period after outputting the warning information.

The output unit 44 may also be configured to stop outputting the warning information if it is detected that multiple blink frequency ranges within the preset time period are all within the blink frequency range of the user to be detected in the awake zone. For example, after outputting the warning information, when the collected eye blink frequency range is within the eye blink frequency range of the user in the awake zone, in the next 2 minutes, continuously collect multiple eye blink frequency ranges, if these eye blink frequency ranges All are within the blink frequency range of the awake zone of the user to be detected, indicating that the user to be detected has recovered to the awake state at this time, and the output of the alarm information can be stopped.

It should be noted that, for other corresponding descriptions of the functional units involved in another device for determining the device in the sleep critical area provided by the embodiment of the present invention, reference may be made to the corresponding description in FIG. 2 , which will not be repeated here.

Another device for determining that you are in a sleep critical area provided by an embodiment of the present invention includes: an acquisition unit, a determination unit, a detection unit, and an output unit, which are currently connected to an instrument that needs to be connected to the user's body parts to collect the user's heartbeat and respiration. Compared with the method of analyzing and detecting whether the user enters the sleep critical area by analyzing the blood pressure, the embodiment of the present invention only needs to detect the blink frequency of the user to determine whether the user has entered the sleep critical area, and there is no need to perform instrumentation on the user's body parts. Connection can achieve non-contact detection, and then facilitate the detection of the user's sleep critical area; and without video image analysis, it can reduce the detection cost of the sleep critical area.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

It can be understood that related features in the above methods and devices can refer to each other. In addition, "first", "second" and so on in the above embodiments are used to distinguish each embodiment, and do not represent the advantages and disadvantages of each embodiment.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

The algorithms and displays presented herein are not inherently related to any particular computer, virtual system, or other device. Various generic systems can also be used with the teachings based on this. The structure required to construct such a system is apparent from the above description. Furthermore, the present invention is not specific to any particular programming language. It should be understood that various programming languages can be used to implement the content of the present invention described herein, and the above description of specific languages is for disclosing the best mode of the present invention.

In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure the understanding of this description.

Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, in order to streamline this disclosure and to facilitate an understanding of one or more of the various inventive aspects, various features of the invention are sometimes grouped together in a single embodiment, figure, or its description. This method of disclosure, however, is not to be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the Detailed Description are hereby expressly incorporated into this Detailed Description, with each claim standing on its own as a separate embodiment of this invention.

Those skilled in the art can understand that the modules in the device in the embodiment can be adaptively changed and arranged in one or more devices different from the embodiment. Modules or units or components in the embodiments may be combined into one module or unit or component, and furthermore may be divided into a plurality of sub-modules or sub-units or sub-assemblies. All features disclosed in this specification (including accompanying claims, abstract and drawings) and any method or method so disclosed may be used in any combination, except that at least some of such features and/or processes or units are mutually exclusive. All processes or units of equipment are combined. Each feature disclosed in this specification (including accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.

Furthermore, those skilled in the art will understand that although some embodiments described herein include some features included in other embodiments but not others, combinations of features from different embodiments are meant to be within the scope of the invention. and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.

The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or a digital signal processor (DSP) can be used in practice to implement some or all of the components in a method and device for determining whether you are in a sleep critical region according to an embodiment of the present invention. Some or all functions. The present invention can also be implemented as an apparatus or an apparatus program (for example, a computer program and a computer program product) for performing a part or all of the methods described herein. Such a program for realizing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet site, or provided on a carrier signal, or provided in any other form.

It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In a unit claim enumerating several means, several of these means can be embodied by one and the same item of hardware. The use of the words first, second, and third, etc. does not indicate any order. These words can be interpreted as names.

Claims (10)

1. it is a kind of to determine the method in sleep critical zone, it is characterised in that including：

The frequency of wink scope that user to be detected is in clear-headed area and sleep area is obtained respectively；

By the frequency of wink scope between the frequency of wink scope in clear-headed area and sleep area, it is defined as the user to be detected Frequency of wink scope in sleep critical zone；

Detect whether the current frequency of wink scope of the user to be detected is in sleep critical zone in the user to be detected In the range of frequency of wink；

If, it is determined that the user to be detected is currently in sleep critical zone.

2. method according to claim 1, it is characterised in that described to obtain user to be detected respectively and be in clear-headed area and sleep The frequency of wink scope in dormancy area includes：

The average blink data in clear-headed area and sleep area are according to sample of users, determine respectively sample of users be in clear-headed area and The average frequency of wink scope in sleep area, and the frequency of wink in clear-headed area and sleep area is in as the user to be detected Scope；Or

Detection calculating is carried out to the frequency of wink in user's preset time period to be detected, the user to be detected is respectively obtained Average frequency of wink scope in clear-headed area and sleep area, and it is in clear-headed area and sleep as the user to be detected The frequency of wink scope in area.

3. method according to claim 2, it is characterised in that described that clear-headed area and sleep area are according to sample of users Average blink data, determine that sample of users is in clear-headed area and the average frequency of wink scope in sleep area and includes respectively：

The blink data that sample of users is in clear-headed area and sleep area are obtained respectively, and the blink data are blinked once including eyes Time, the interval time blinked twice；

According to the blink data, determine that sample of users is in the average frequency of wink scope in clear-headed area and sleep area respectively.

4. method according to claim 2, it is characterised in that described to blinking in user's preset time period to be detected Eye frequency carries out detection calculating, respectively obtains the average frequency of wink scope that the user to be detected is in clear-headed area and sleep area Including：

The average frequency of wink scope in clear-headed area and sleep area is according to the sample of users for determining, to being gathered in preset time period To multiple frequency of wink scopes of user described to be detected detected, put down in clear-headed area and sleep area to obtain respectively Multiple frequency of wink scopes in the range of equal frequency of wink；

The multiple frequency of wink scopes in the range of clear-headed area and the sleep average frequency of wink in area are carried out into average value meter respectively Calculate, obtain the average frequency of wink scope that the user to be detected is in clear-headed area and sleep area.

5. the method according to any one of claim 1-4, it is characterised in that clear-headed area and the sleep area of being in Frequency of wink scope between frequency of wink scope, is defined as the frequency of wink model that the user to be detected is in sleep critical zone Enclose including：

The user to be detected is in the minimum value of the frequency of wink scope in clear-headed area, is defined as the user to be detected and is in The maximum of the frequency of wink scope of sleep critical zone；

The user to be detected is in the maximum of the frequency of wink scope in sleep area, is defined as the user to be detected and is in The minimum value of the frequency of wink scope of sleep critical zone.

6. method according to claim 5, it is characterised in that the determination user to be detected is currently at sleep and faces Before within battery limit, methods described also includes：

The frequency of wink scope of the user described to be detected of continuous acquisition predetermined number is further detected；

The determination user to be detected is currently in sleep critical zone and includes：

If the frequency of wink scope of the user described to be detected of the predetermined number is all faced in the user to be detected in sleep In the range of the frequency of wink of battery limit (BL), it is determined that the user to be detected is currently in sleep critical zone.

7. method according to claim 5, it is characterised in that the determination user to be detected is currently at sleep and faces Before within battery limit, methods described also includes：

The interval time for obtaining the current wink time of the user to be detected and blinking twice is further detected；

The determination user to be detected is currently in sleep critical zone and includes：

If detecting, the wink time is in less than wink time when presetting clear-headed, and the interval time blinked twice Outside blink interval when default clear-headed, it is determined that the user to be detected is currently in sleep critical zone.

8. the method according to claim 6 or 7, it is characterised in that the determination user to be detected is currently at and sleeps After in dormancy critical zone, methods described also includes：

Outputting alarm information, the warning information is used to point out the user to be detected to be currently in sleep critical zone.

9. method according to claim 8, it is characterised in that after the outputting alarm information, methods described also includes：

Detect multiple frequency of wink scopes of the user to be detected in ensuing preset time period；

If detecting, the multiple frequency of wink scopes in the preset time period are all in clear-headed area in the user to be detected In the range of frequency of wink, then stop the output warning information.

10. it is a kind of to determine the device in sleep critical zone, it is characterised in that including：

Acquiring unit, the frequency of wink scope in clear-headed area and sleep area is in for obtaining user to be detected respectively；

Determining unit, for by the frequency of wink scope between the frequency of wink scope in clear-headed area and sleep area, being defined as The user to be detected is in the frequency of wink scope of sleep critical zone；

Detection unit, for detecting whether the current frequency of wink scope of the user to be detected is in the user to be detected In the range of the frequency of wink of critical zone of sleeping；

The determining unit, if being additionally operable to detect the current frequency of wink scope of the user to be detected in the use to be detected Family is in the range of the frequency of wink of sleep critical zone, it is determined that the user to be detected is currently in sleep critical zone.