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WO2018004022A1 - Procédé et appareil de mesure de l'équilibre corporel d'un dispositif portable - Google Patents

Procédé et appareil de mesure de l'équilibre corporel d'un dispositif portable Download PDF

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Publication number
WO2018004022A1
WO2018004022A1 PCT/KR2016/006878 KR2016006878W WO2018004022A1 WO 2018004022 A1 WO2018004022 A1 WO 2018004022A1 KR 2016006878 W KR2016006878 W KR 2016006878W WO 2018004022 A1 WO2018004022 A1 WO 2018004022A1
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WIPO (PCT)
Prior art keywords
wearable device
state
motion
motion data
data
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English (en)
Korean (ko)
Inventor
김경태
김성현
서다비드한석
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Zikto
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Zikto
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1123—Discriminating type of movement, e.g. walking or running
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
    • A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/117—Identification of persons
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/74—Details of notification to user or communication with user or patient; User input means
    • A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16—Constructional details or arrangements
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M2250/00—Details of telephonic subscriber devices
    • H04M2250/06—Details of telephonic subscriber devices including a wireless LAN interface

Definitions

  • the present application relates to a method and apparatus for measuring body balance of a wearable device.
  • Smart bands are wristbands that allow you to search wirelessly for various services such as diaries, messages, notifications, and stock quotes.
  • services such as diaries, messages, notifications, and stock quotes.
  • the user can download data or set up his own account using a web browser.
  • the technical problem to be solved by the present invention is to provide a smart band that provides body balance, that is, asymmetric information of the body by measuring the motion of both arms of the user.
  • Another technical problem to be solved by the present invention is to provide a method for measuring the body balance of the smart band that provides the body balance, that is, asymmetric information of the body shape by measuring the motion of both arms of the user.
  • Another technical problem to be solved by the present invention is a program for measuring the motion of both arms of the user, the body balance (ie, a program for performing a body balance measurement method of the smart band to provide asymmetric information of the body shape) It is to provide a computer-readable recording medium comprising a.
  • the attitude correction method of the wearable device may include wirelessly communicating with a portable electronic device, and receiving a first request signal of the portable electronic device.
  • the portable electronic device may be in a first security state.
  • the posture correcting method of the wearable device includes a first motion data collecting step of collecting motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through a motion sensor included in the wearable device.
  • the method may include transmitting the first motion data to the portable electronic device and receiving a second request signal of the portable electronic device.
  • the portable electronic device may be in a second security state.
  • the portable electronic device may be in a third security state.
  • the posture correcting method of the wearable device may further include collecting motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through a motion sensor provided in the wearable device. And transmitting the motion data to the portable electronic device.
  • FIG. 1 is a view showing a wearable device and a smartphone associated with the wearable device according to one embodiment of the present invention
  • FIG. 2 is a block diagram showing an apparatus configuration of a wearable device according to an embodiment of the present invention
  • FIG. 3 is a flowchart illustrating a method of registering biometric authentication information in a wearable device according to an embodiment of the present invention
  • FIG. 4 is a flowchart illustrating a method of performing biometric authentication based on registered biometric information in a wearable device according to an embodiment of the present invention
  • 5 to 8 are diagrams for describing scores of each of the first to third elements determined by the controller of FIG. 2.
  • FIG. 9 is a flowchart illustrating a method of determining a motion operation of a smart band according to an embodiment of the present invention.
  • FIG. 10 is a flowchart illustrating a normal motion score registration step of a user of FIG. 9.
  • FIG. 11 is a diagram illustrating a state in which a user wears and moves the smart band of FIG. 2.
  • 12 to 14 are flowcharts illustrating a method for measuring a body balance of a smart band according to an embodiment of the present invention.
  • spatially relative terms “ below “, “ beneath “, “ lower”, “ above “, “ upper” Can be used to easily describe the correlation of my device or components with other devices or components. Spatially relative terms are to be understood as including terms in different directions of the device in use or operation in addition to the directions shown in the figures. For example, when flipping a device shown in the figure, a device described as “below” or “beneath” of another element may be placed “above” of another element. Thus, the exemplary term “below” may include both directions below and above. The device can also be oriented in other directions, so that spatially relative terms can be interpreted according to orientation.
  • first, second, etc. are used to describe various elements or components, these elements or components are of course not limited by these terms. These terms are only used to distinguish one device or component from another. Therefore, of course, the first device or component mentioned below may be a second device or component within the technical idea of the present invention.
  • FIG. 1 is a diagram illustrating a wearable device and a smartphone associated with the wearable device according to an embodiment of the present invention.
  • the wearable device 100 and the smartphone 110 communicate using short-range communication.
  • the wearable device 100 may be worn on a human body (for example, an arm) by using a band or the like, and includes a motion sensor, and generates motion data by measuring a user's motion through the motion sensor. Based on the user's biometric authentication. Accordingly, the user may perform biometric authentication by simply walking with wearing the wearable device 100 without additional manipulation. Since the pattern of movement of the arm is different according to the walking pattern for each user, the biometric authentication of the user is possible by measuring the motion of the arm.
  • FIG. 2 is a block diagram showing an apparatus configuration of a wearable device according to an embodiment of the present invention.
  • the wearable device 200 includes a control unit 202, an input unit 204, a display unit 206, a motion sensor 208, a biometric authentication unit 210, Memory 212, communication module 214, and an alarm unit 216.
  • the controller 202 measures motion of the user through the motion sensor 208 to generate motion data, and processes the function for performing biometric authentication of the user based on the motion sensor 208.
  • the input unit 204 may be configured of a plurality of function keys, and provides key input data corresponding to a key pressed by the user to the controller 202.
  • the functions of the input unit 204 and the display unit 206 may be performed by a touch screen unit (not shown).
  • the touch screen unit (not shown) may be touched by a user's screen touch. It is responsible for screen input and graphic display through touch screen.
  • the display unit 206 displays state information generated during the operation of the wearable device 200, limited number of characters, a large amount of video and still images, and the like.
  • the display unit 206 may use a liquid crystal display (LCD).
  • the motion sensor 208 is implemented as a sensor such as an acceleration sensor or a gyroscope, and is activated periodically or under the control of the biometric authentication unit 210 to measure a user's motion and include a measurement result.
  • the motion data is generated and provided to the biometric authentication unit 210.
  • the biometric authentication unit 210 activates the motion sensor 208 to extract a plurality of feature points based on the generated motion data, and then extracts the feature points. User biometric authentication is performed based on the distribution status.
  • the biometric authentication unit 210 derives a histogram for the extracted feature points, converts the derived histogram into a normalized histogram, and then registers the biometric information of the registered user and the normalization. By comparing the distribution state of the feature points in the histogram, it may be checked whether an error between the biometric information of the registered user and the distribution state of the feature points in the normalized histogram is within an allowable error range.
  • the biometric authentication unit 210 determines that the normalized histogram is a registered user. If it is determined that the same as the body authentication information, and the error between the biometric information of the registered user and the distribution state of the feature points in the normalized histogram does not exist within the tolerance range, the normalized histogram is the biometric of the registered user It can be determined that it is not the same as the authentication information.
  • the biometric authentication unit 210 registers the biometric authentication information of the user to be compared with the normalized histogram according to the registration request for the biometric authentication information.
  • the biometric authentication unit 210 activates the motion sensor 208 based on the motion data generated through the activation of the motion sensor 208 according to a registration request for biometric authentication information according to a user's key manipulation. After extracting the feature points of, extracting histograms for the extracted feature points, converting the derived histograms into normalized histograms, the normalized histograms may be registered as the user's biometric authentication information.
  • the memory 212 stores microcode and various reference data of a program for processing and control of the controller 202, temporary data generated during execution of various programs, and various kinds of updatable storage data.
  • the memory 212 stores biometric authentication information of a pre-registered user.
  • the communication module 214 encodes a signal input from the control unit 202 to generate a Bluetooth, ZigBee, infrared, Ultra Wide Band, UWB, NFC, Near field communication (S Near Field Communication) is transmitted to the smartphone through short-range wireless communication, and the signal received from the smart phone through the short-range wireless communication to provide to the control unit 202.
  • a Bluetooth ZigBee, infrared, Ultra Wide Band, UWB, NFC
  • Near field communication S Near Field Communication
  • the alarm unit 216 notifies the user of success / failure of biometric authentication to the user under the control of the biometric unit 210.
  • the alarm unit 216 may output an alarm so that the user recognizes the success / failure of biometric authentication for the user through the sense of the person such as visual and hearing.
  • a buzzer or a light emitting diode (LED) may be used to output a warning sound or to flash a warning light, or display the information through the display unit 206 to indicate success / failure of biometric authentication for the user.
  • the alarm can output an alarm.
  • FIG. 3 is a flowchart illustrating a method of registering biometric authentication information in a wearable device according to an exemplary embodiment of the present invention.
  • the wearable device determines whether registration of biometric authentication information is requested according to a user's key manipulation.
  • step 301 registration of biometric authentication information is performed according to a user's key manipulation.
  • the wearable device activates the motion sensor 208 in step 303, thereby measuring motion of the user for a predetermined time and generating motion data.
  • the motion sensor is an acceleration sensor
  • acceleration data is generated by measuring acceleration of the user's motion
  • the motion sensor is a gyroscope
  • the angular velocity data is measured by measuring a rotational angular velocity of the user's motion.
  • the acceleration data includes three axis (x, y, z axis) acceleration components
  • the angular velocity data includes three axis angular velocity components.
  • the wearable device extracts a plurality of feature points based on the motion data generated for the motion for a predetermined time.
  • the magnitude of acceleration may be a feature point, and the magnitude of acceleration may be calculated by taking the root of a result obtained by squaring each of the three-axis acceleration components.
  • the motion data is the angular velocity data
  • the magnitude of the angular velocity may be a feature point, and the magnitude of the angular velocity may be calculated by taking the root of the result obtained by squaring each of the three-axis angular velocity components.
  • the result of performing the Fourier transform on the magnitude of the acceleration or the magnitude of the angular velocity may be a feature point.
  • the wearable device derives a histogram of the extracted feature points.
  • the histogram is a graph representing a distribution state of the extracted feature points.
  • the wearable device converts the derived histogram into a normalized histogram for easy comparison between histograms when performing biometric authentication.
  • the wearable device registers the normalized histogram as biometric authentication information of the user.
  • the wearable device ends the algorithm according to the present invention.
  • FIG. 4 is a flowchart illustrating a method of performing biometric authentication based on registered biometric information in a wearable device according to an embodiment of the present invention.
  • the wearable device periodically checks whether biometric authentication of the user is necessary in step 401.
  • the smart band activates the motion sensor in step 403 and through this to measure the user's motion for a predetermined time to generate motion data.
  • the motion sensor is a speed sensor
  • the acceleration data is generated by measuring acceleration of the user's motion
  • the motion sensor is a gyroscope
  • the angular velocity data is measured by measuring the rotational angular velocity of the user's motion.
  • the acceleration data includes three axis (x, y, z axis) acceleration components
  • the angular velocity data includes three axis angular velocity components.
  • the wearable device extracts a plurality of feature points based on the motion data generated for the motion for a predetermined time.
  • the magnitude of acceleration may be a feature point, and the magnitude of acceleration may be calculated by taking the root of a result obtained by squaring each of the three-axis acceleration components.
  • the motion data is the angular velocity data
  • the magnitude of the angular velocity may be a feature point, and the magnitude of the angular velocity may be calculated by taking the root of the result obtained by squaring each of the three-axis angular velocity components.
  • the result of performing Fourier transform on the magnitude of the acceleration or the magnitude of the angular velocity may be a feature point.
  • the wearable device derives a histogram of the extracted feature points.
  • the histogram is a graph representing a distribution state of the extracted feature points.
  • the wearable device converts the derived histogram into a normalized histogram.
  • the wearable device compares biometric authentication information of a registered user with a distribution state of feature points in the normalized histogram.
  • the wearable device checks whether an error between the biometric information of the registered user and the distribution state of the feature points in the normalized histogram is within an allowable error range. For example, the wearable device obtains a difference between each biometric authentication information (ie, a normalized histogram of a registered user) and each section in the normalized histogram, and takes an absolute value thereof and adds them. By determining a score and determining whether the determined score is less than or equal to the reference value, it is determined whether an error between the biometric information of the registered user and the distribution state of the feature points in the normalized histogram is within an allowable error range. Can be checked Here, the lower the determined score, the higher the similarity between two normalized histograms.
  • the wearable device may include two or more different motion sensors, and in this case, determine two or more scores based on motion data generated by two or more motion sensors.
  • the final score is determined by applying weights to the at least one core and adding the weights, and determining whether the determined final score is less than or equal to the reference value, thereby determining the distribution state of the biometric information of the registered user and the feature points in the normalized histogram. It may also be checked whether the liver error is within the tolerance range.
  • step 413 if the error between the biometric information of the registered user and the distribution state of the feature points in the normalized histogram is within an allowable error range, the wearable device registers the normalized histogram in step 415. It is determined that it is the same as the biometric authentication information of the user, and outputs an alarm indicating the success of biometric authentication for the user.
  • the wearable device registers the normalized histogram in step 417. It is determined that it is not the same as the biometric authentication information of the user, and outputs an alarm indicating the failure of biometric authentication for the user.
  • the wearable device ends the algorithm according to the present invention.
  • the biometric authentication of the user may be performed by extracting the magnitude of the acceleration as a feature point.
  • the wearable device When a user wears a wearable device having an acceleration sensor and walks without any manipulation, the wearable device measures acceleration of the user's motion to generate acceleration data, and calculates the magnitude of the acceleration based on the plurality of steps.
  • the feature points of can be extracted. Thereafter, the wearable device derives a histogram of the extracted feature points, converts the derived histogram into a normalized histogram, and then obtains biometric authentication information of the pre-registered user (that is, the normalized histogram of the pre-registered user). ), The user can be authenticated.
  • the biometric authentication of the user may be performed by extracting the rotational angular velocity as a feature point.
  • the wearable device measures the rotational angular velocity of the user's motion to generate angular velocity data, and calculates the magnitude of the angular velocity based on this.
  • a plurality of feature points can be extracted.
  • the wearable device derives a histogram of the extracted feature points, converts the derived histogram into a normalized histogram, and then obtains biometric authentication information of the pre-registered user (that is, the normalized histogram of the pre-registered user). ) Can be compared to authenticate users.
  • a biometric authentication of a user may be performed by extracting a Fourier transform result of the magnitude of the acceleration or the magnitude of the angular velocity as a feature point.
  • the wearable device When the user wears a wearable device equipped with an acceleration sensor or gyroscope and walks without any manipulation, the wearable device generates acceleration data or angular velocity data by measuring the acceleration or rotational angular velocity of the user's motion and based on the same. After calculating the magnitude of the acceleration or the magnitude of the angular velocity, a Fourier transform may be performed to extract a plurality of feature points. Thereafter, the wearable device derives a histogram for the extracted feature points, converts the derived histogram into a normalized histogram, and then obtains biometric authentication information of the pre-registered user (that is, the registered user). Can be compared to the normalized histogram).
  • the wearable device and the biometric authentication method thereof generate the motion data by measuring the motion of the user through a motion sensor, and perform biometric authentication of the user based on the additional circuit or the user.
  • biometric authentication can be performed by simply walking and wearing the wearable device without any separate manipulation of the wearable device.
  • 5 to 8 are diagrams for describing scores of each of the first to third elements determined by the controller of FIG. 2.
  • the user swings his arms back and forth when walking. That is, in general, a person swings his arms back and forth (walking direction) naturally when walking, and the angle of swinging his arms back and forth may vary from person to person. Also, the longer it takes to walk a step (ie, the larger the stride length), the more likely it is to strain the body.
  • the first element which is a criterion for determining the motion state of the user, is based on this point. That is, the score of the first element is a first peak angle in the first direction D1 of the direction in which the user swings the arm when walking, based on the state S1 in which the user's arm is positioned parallel to the body of the user. It may be determined based on the first travel time up to P1) and the second travel time up to the second peak angle P2 in the second direction D2 opposite to the first direction D1.
  • the angular velocity with respect to the third direction D3 (for example, the direction perpendicular to the liquid crystal surface of the display unit 160 of the smart band 100) intersecting the first and second directions D1 and D2.
  • the first peak angle P1 and the second direction D2 in the first direction D1 with respect to the value of the component integration (that is, the direction of swinging the arm forward and backward (first and second directions D2)).
  • the score of the first element may be determined based on the travel time between the first peak angle P1 and the second peak angle P2.
  • an acceleration component or an angular velocity component In the case of the present invention, an acceleration component or an angular velocity component
  • Filters can be used to remove noise generated during integration. Noise
  • an equation for calculating the score of the first element may be, for example, ⁇ Equation 1>.
  • Score of first element (10000-((average of first travel time + average of second travel time) / 2) ⁇ 2) / 100)
  • the first travel time and the second travel time may be measured a plurality of times, and may be measured in a specific range (for example, 90 to 110% of the average range) of the first travel time and the second travel time measured multiple times.
  • the average of the first travel time and the second travel time may be obtained by extracting the corresponding data, but is not limited thereto.
  • the score of the first element may be determined based on a rotational angular velocity with respect to the motion of the user, and the larger the sum of the first and second travel times may be, the smaller the score of the first element may be.
  • the user swings his arms in and out as the user walks. That is, in general, a person swings his or her arms in and out (ie, inside and outside the body) when walking, and the angle of swinging the arms in and out may vary from person to person. In addition, the greater the movement of the arm in and out, the more the gait of the body is more walking, and the more the gait of the body is, the more the pelvis may be.
  • the second element which is a criterion for determining the motion state of the user, is based on this point. That is, the score of the second element is based on the state in which the user's arm is positioned parallel to the user's body (S1 in FIG. 3), and the score of the second element in the third direction D3 of the direction in which the user swings the arm when walking. It may be determined based on the first peak displacement DP1 and the second peak displacement DP2 in the fourth direction D4 opposite to the third direction D3.
  • a value obtained by integrating an acceleration component with respect to the third direction D3 (for example, a direction perpendicular to the liquid crystal surface of the display unit 160 of FIG. 3) of the smart band 100 (FIG. 3).
  • the first peak displacement DP1 in the third direction D3 and the second peak displacement in the fourth direction D4 with respect to the direction in which the arm is swung in and out (third and fourth directions D4).
  • the DP2) may be extracted and the score of the second element may be determined based on this.
  • the equation for calculating the score of the second element may be, for example, ⁇ Equation 2>.
  • Score of second element (50 / (((average of first peak displacement + average of second peak displacement) / 2) * 10))
  • first peak displacement DP1 and the second peak displacement DP2 may be measured a plurality of times, and are based on the average of the first and second peak displacements DP1 and DP2 measured multiple times.
  • the score of the second element can be determined.
  • the score of the second element may be determined based on the acceleration for the user's motion, and the larger the sum of the first and second peak displacements, the smaller the score of the second element may be.
  • FIGS. 7 and 8 illustrate a third direction (D3 of FIG. 3) intersecting with the first and second directions (D1 and D2 of FIG. 3) described with reference to FIG. 5 (for example, the smart band 100).
  • These graphs are obtained by performing Fourier transform on the integral value of the angular velocity component relative to the liquid crystal surface of the display unit 160).
  • the graph in the case of good walking shows that the remaining peaks (for example, the second peak Peak2 and the third peak Peak3) are compared with the first peak Peak1. It can be seen that it is small.
  • the week is a step.
  • the third element which is a criterion for determining the motion state of the user, is based on this point. That is, the score of the third element is the first peak of the frequency domain of the integral value of the rotational angular velocity after Fourier transformation with respect to the value obtained by integrating the rotational angular velocity component in the third direction D3 of FIG.
  • the first peak Peak1 may be determined based on the sum of the magnitudes of the remaining peaks (eg, the second and third peaks Peak3).
  • the ratio of the magnitude of the first peak: the sum of the magnitudes of the second and third peaks may be calculated using a specific function (eg, WalkMeterCalc).
  • the equation for calculating the score of the third element may be, for example, ⁇ Equation 3>.
  • the remaining peaks are not limited to the second and third peaks, and additional peaks may be included in addition to the second and third peaks.
  • the score of the third element may be determined based on the rotational angular velocity of the user's motion, and the larger the sum of the magnitudes of the remaining peaks except the first peak may be smaller.
  • the final score is calculated by the controller 202 of FIG. 2 based on the score of each of the first to third elements calculated by the method described above, and the controller 202 of FIG.
  • the motion state of the user may be determined by comparing the normal motion score of the user stored in 212).
  • equation for calculating the final score may be, for example, ⁇ Equation 4>.
  • the user's normal motion score may be, for example, a certain range of scores rather than a particular score, and if the final score is higher than the user's normal motion score, this may be a healthy gait, and the final score is the user's normal score. If it is lower than the motion score, it may be an unhealthy walk.
  • the above-described alarm unit 216 of FIG. 2 may output an alarm to the user when the final score is lower than the normal motion score.
  • the smart band 100 analyzes the health of the gait of the user through the motion sensor 208 and the control unit 202 in real time when the final score is lower than the user's normal motion score. Can provide an alarm. In addition, by providing an alarm in real time as described above, the smart band 100 can assist the user to maintain a healthy gait.
  • FIG. 9 is a method for determining a motion operation of a smart band according to an embodiment of the present invention.
  • FIG. 10 is a flowchart illustrating a normal motion score registration step of a user of FIG. 9.
  • a normal motion score of a user is registered (S500).
  • the smart band 100 activates the motion sensor 208 and is determined in advance.
  • the motion data is generated by measuring the motion of the user during the time (S520).
  • the motion sensor 208 is an acceleration sensor, it generates acceleration data by measuring the acceleration of the user's motion, and if the motion sensor 208 is a gyroscope, the rotational angular velocity of the user's motion is measured. Measure and generate angular velocity data.
  • the acceleration data includes three axis (x, y, z axis) acceleration components
  • the angular velocity data includes three axis angular velocity components.
  • the score of each of the first to third elements is determined based on the motion data generated for the motion for a predetermined time (S530).
  • determining the score of the first element is based on a state in which the user's arm is parallel to the user's body (S1 in FIG. 5), and the first direction (FIG.
  • the second movement time up to the large angle (P2 of FIG. 5) may be measured a plurality of times, and the score of the first element may be determined based on an average of each of the plurality of measured first and second movement times. .
  • determining the score of the second element is based on a state in which the user's arm is parallel to the user's body (S1 in FIG. 6), and the first direction (D1 in FIG. 6) of the user's swinging arm when walking. 6) in the third direction (D3 in FIG. 6) intersecting with the first peak displacement (DP1 in FIG. 6) and in the fourth direction (D4 in FIG. 6) opposite to the third direction (D3 in FIG. 6).
  • the second peak displacement (DP2 of FIG. 6) is measured a plurality of times, and the score of the second element is determined based on the average of each of the first and second peak displacements (DP1, DP2 of FIG. 6) measured multiple times. It may include.
  • Determining the score of the third element is to convert the integral value of the rotational angular velocity for the user's motion into the frequency domain through Fourier transform, and the magnitude of the remaining peaks relative to the magnitude of the first peak of the frequency domain of the integral value of the rotational angular velocity. Determining a score of the third element based on a ratio of the sum of the sums.
  • controller 202 may calculate a final score by summing respective scores of the first to third elements.
  • the controller 202 may register the calculated final score as the normal motion score of the user and store it in the memory 212.
  • the motion sensor 208 is activated periodically or under the control of the control unit 202, thereby measuring the user's motion for a predetermined time through the motion data. Can be generated.
  • the motion sensor 208 is an acceleration sensor, it generates acceleration data by measuring the acceleration of the user's motion, and if the motion sensor 208 is a gyroscope, the rotational angular velocity of the user's motion Measure the angular velocity data.
  • the acceleration data includes three-axis (x, y, z-axis) acceleration components
  • the angular velocity data includes three-axis angular velocity components.
  • the score of each of the first to third elements is determined based on the motion data generated for the motion for a predetermined time (S700).
  • determining the score of the first element is based on a state in which the user's arm is parallel to the user's body (S1 in FIG. 5), and the first direction (FIG.
  • measuring the second travel time up to the peak angle (P2 in FIG. 5) multiple times and determining the score of the first element based on the average of each of the first and second travel times measured multiple times.
  • determining the score of the second element is based on a state in which the user's arm is parallel to the user's body (S1 in FIG. 6).
  • the second peak displacement of DP2 of FIG. 6 is measured a plurality of times, and the score of the second element is determined based on the average of each of the first and second peak displacements (DP1 and DP2 of FIG. 6) measured multiple times. It may include doing.
  • Determining the score of the third element is to convert the integral value of the rotational angular velocity for the user's motion into the frequency domain through Fourier transform, and the magnitude of the remaining peaks relative to the magnitude of the first peak of the frequency domain of the integral value of the rotational angular velocity. Determining a score of the third element based on a ratio of the sum of the sums.
  • controller 202 may calculate a final score by summing respective scores of the first to third elements.
  • the final score and the normal motion score are compared (S900).
  • the controller 202 may determine whether the final score is smaller than the normal motion score by comparing the final score with the normal motion score stored in the memory 212 (S1000).
  • the control unit 202 sends a signal to the alarm unit 216 and the alarm unit 216 outputs an alarm to the user (S1100).
  • the controller 202 may not send a signal to the alarm unit 216, but is not limited thereto. That is, even when the final score is greater than or equal to the normal motion score, the controller 202 may send a signal to the alarm unit 216, and accordingly, the alarm unit 216 may output an alarm to the user.
  • the same score may be output differently.
  • the smart band 100 ends the algorithm according to the embodiment of the present invention.
  • the method for determining the motion state of a smart band according to the embodiments of the present invention described above may also be embodied as computer readable codes or programs on a computer readable recording medium.
  • the computer-readable recording medium includes all kinds of recording devices in which data that can be read by a computer system is stored. That is, the computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the recording medium may be those specially designed and constructed for the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts.
  • Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disks, optical data storage devices, and the like, which are also implemented in the form of carrier waves (for example, transmission over the Internet). It also includes.
  • the computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.
  • the direction axes D1 and D2 of each of the first and second rotational angular velocity integration values intersect with each other, are located on the same plane as the liquid crystal surface of the display unit 160, and the third rotational angular velocity integration values of The direction axis D3 may cross the direction axes D1 and D2 of each of the first and second rotational angular velocity integration values, and may be perpendicular to the liquid crystal surface of the display unit 160.
  • the rotation matrix may be, for example, ⁇ Equation 1>.
  • the first rotational angular velocity integration value may be pitch (i)
  • the second rotational angular velocity integration value may be roll (i)
  • the third rotational angular velocity integration value may be yaw (i).
  • the controller 202 may include a filter (not shown) for filtering noise of the first to third rotational angular velocity integrated values.
  • the filter (not shown) may filter the noise of the rotational angular velocity measured by the gyroscope before the correction, and may be, for example, a notch filter, but is not limited thereto.
  • the controller 202 calculates the linear acceleration by applying the rotation matrix to the acceleration velocity measured by the acceleration sensor (not shown), calculates the velocity and displacement values by integrating the linear acceleration, and calculates the third rotational angular velocity integral value by Fourier.
  • the second balance element may be extracted based on the velocity and displacement values and the Fourier transformed angular velocity integral value.
  • the controller 202 is provided with a first balance element from the memory 212, calculates an asymmetric index based on the difference between the first balance element and the second balance element, spinal score and shoulder based on the asymmetric index. Scores, pelvic scores can be calculated, and final scores can be calculated based on spinal scores, shoulder scores, and pelvic scores.
  • the first and second balance elements may each include a plurality of sub balance elements.
  • the plurality of sub-balance elements may include, for example, a positive peak of the third rotational angular velocity integral value (a peak point when the user swivels the arm forward), a negative peak of the third rotational angular velocity integration value (user) Peak point when the user swings the arm backward, positive and negative peaks in the first direction D1 of FIG. 11 (that is, the positive and negative peak point in the first direction D1 when the user swings the arm). Positive and negative peaks in the second direction D2 of FIG. 11 (ie, the positive and negative peak points of the second direction D2 when the user swings the arm), and the third direction D3 of FIG. 11.
  • Positive and negative peaks i.e., positive and negative peak points in the third direction (D3) when the user swings the arm
  • arm travel time to the positive peak of the third rotational angular velocity integration value User in arm posture bend arm forward Arm travel time to the peak point when it is pressed
  • arm travel time to the negative peak of the third rotational angular velocity integration value (arm travel time to the peak point when the user swings the arm backward in a standing posture) It may include, but is not limited thereto.
  • the equation for calculating the asymmetric index may be, for example, ⁇ Equation 2>.
  • Asymmetric index 100 * (second balance element-1 balance element) / second balance element
  • the first balance element may be a balance element for the motion of the right arm
  • the second balance element may be a balance element for the motion of the left arm, but is not limited thereto.
  • one subbalance element of the second balance element may be substituted, and a subbalance element of the first balance element corresponding thereto may be substituted.
  • the first balance element is the balance element for the motion of the right arm and the second balance element is the balance element for the motion of the left arm, if the asymmetric index is greater than zero, it means that the motion of the left arm is greater.
  • controller 202 may calculate an asymmetric index for each subbalance element, and then calculate the final asymmetric index by adding up each asymmetric index.
  • the equation for calculating the final asymmetric index may be, for example, ⁇ Equation 3>.
  • the controller 1202 may calculate the spine score, the shoulder score, and the pelvic score based on the asymmetric index, and the equation for calculating the same is shown in Equations 4, 5, and 6 below.
  • Pelvic score (50 + (0.2-(asymmetric index for the positive peak in the third direction (D3) in Figure 11 + asymmetric index for the negative peak in the third direction (D3) in Figure 11)) * 200 + 25 + (0.2-(asymmetric index for the positive peak in the second direction D2 in FIG. 11 + asymmetric index for the negative peak in the second direction D2 in FIG. 11)) * 100 ⁇ / 1.5
  • the final score may be calculated based on the spine score, shoulder score, and pelvic score, respectively, given specific weights.
  • the input unit 204 may receive an input from a user.
  • the input unit 204 may be composed of a plurality of function keys, and provides the control unit 202 with key input data corresponding to the key pressed by the user.
  • the functions of the input unit 204 and the display unit 160 may be performed by a touch screen unit (not shown).
  • the touch screen unit (not shown) may be connected to a touch screen input through a user's screen touch. It is in charge of graphic display through touch screen.
  • the display unit 160 may receive and display the output of the controller 202.
  • the display unit 160 displays state information generated during the operation of the smart band 100, limited number of characters, a large amount of video and still images, and the like.
  • the display unit 160 may include, for example, a liquid crystal display (LCD).
  • LCD liquid crystal display
  • the communication module 214 may receive a signal from the controller 202 and perform communication with surrounding electronic devices (for example, a smartphone).
  • the communication module 214 encodes a signal input from the control unit 202 so that Bluetooth, ZigBee, infrared, UWB, UWB, NFC, Near field communication (Near Field Communication) and the like to transmit to a nearby electronic device (for example, a smart phone), and through the short-range wireless communication to receive a signal received from the surrounding electronic device to provide to the control unit 202.
  • a nearby electronic device for example, a smart phone
  • Smart band 100 measures the motion of both arms of the user through the motion sensor 208 and the control unit 202, the body balance, that is, body asymmetric information Can provide.
  • the smart band 100 may assist the user to maintain a healthy body balance by providing the user's body balance in this way.
  • 12 to 14 are flowcharts illustrating a method for measuring a body balance of a smart band according to an embodiment of the present invention.
  • a first balance element of one of a user's left arm or right arm (for example, a right arm) is registered (S1200).
  • the motion sensor 208 activates the motion sensor 208 and measures one of the user's left or right arm (eg, the right arm) for a predetermined time.
  • the motion sensor 208 is an acceleration sensor, it generates acceleration data by measuring the acceleration of the user's motion, and if the motion sensor 208 is a gyroscope, the rotational angular velocity of the user's motion Measure the angular velocity data.
  • the acceleration data has three axes (x, y, z axes) including the velocity component, and the angular velocity data includes the three axis angular velocity component.
  • the controller 202 may determine whether the motion of the user is the motion of the user's left arm or the motion of the right arm to determine the sign of the motion data.
  • the controller 202 first filters the noise of the rotation angular velocity data among the coded motion data (in this case, may be filtered by a filter (not shown) included in the controller 202), and the rotation angle from which the noise is filtered
  • the speed data may be corrected by reflecting the rotation angle measured by the acceleration sensor (not shown), and the first to third rotation angular velocity integration values may be extracted by integrating the corrected rotation angular velocity.
  • the control unit 202 filters the noise of the extracted first to third rotational angular velocity integral values (in this case, may be filtered by a filter (not shown) included in the control unit 202), and the filtered first to The rotation matrix may be generated using the third rotational angular velocity integration value.
  • the controller 202 may calculate the linear acceleration by applying the rotation matrix to the acceleration data among the motion data measured by the motion sensor 208.
  • the controller 202 calculates the velocity and displacement values by integrating the linear acceleration, Fourier transforms the third rotational angular velocity integral value, and based on the velocity and displacement values and the Fourier transformed third rotational angular velocity integral value, the first balance is performed. You can extract elements. In addition, the controller 202 may register the extracted first balance element and store it in the memory 212.
  • the motion sensor 208 is activated periodically or under the control of the controller 202.
  • motion data can be generated by measuring the motion of the user's left or right arm (eg, the left arm) for a predetermined time.
  • the motion sensor 208 is an acceleration sensor
  • acceleration data is generated by measuring acceleration of the user's motion
  • the motion sensor 208 is a gyroscope
  • rotational angular velocity of the user's motion is measured.
  • the acceleration data includes three axis (x, y, z axis) acceleration components
  • the angular velocity data includes three axis angular velocity components.
  • the sign of motion data is determined.
  • the controller 202 may determine whether the motion of the user is the motion of the user's left arm or the motion of the right arm to determine the sign of the motion data.
  • the controller 202 first filters the noise of the rotational angular velocity data among the coded motion data (in this case, may be filtered by a filter (not shown) included in the controller 202), and the noise is filtered.
  • the rotation angle velocity data may be corrected by reflecting the rotation angle measured by the acceleration sensor (not shown), and the first to third rotation angular velocity integrated values may be extracted by integrating the corrected rotation angular velocity.
  • the controller 202 filters the noise of the extracted first to third rotational angular velocity integral values (in this case, may be filtered by a filter (not shown) included in the controller 202), and filtered.
  • the rotation matrix may be generated using the first to third rotational angular velocity integration values.
  • linear acceleration is calculated to extract the second balance element.
  • the controller 202 may calculate the linear acceleration by applying the rotation matrix to the acceleration data among the motion data measured by the motion sensor 208.
  • the controller 202 calculates the velocity and displacement values by integrating linear acceleration, Fourier transforms the third rotational angular velocity integration value, and based on the velocity and displacement values and the Fourier transformed third rotational angular velocity integral value.
  • the second balance element can be extracted.
  • the controller 202 may calculate an asymmetric index based on a difference between the second balance element and the first balance element stored in the memory 208.
  • the controller 202 may calculate the spine score, the shoulder score, and the pelvis score based on the asymmetric index, and calculate the final score based on the spine score, the shoulder score, and the pelvis score.
  • the final score calculated through such an algorithm may be displayed through the display unit 160, and the user may check the state of the user's own body balance through the final score.
  • the present invention is not limited thereto.
  • the smart band 100 ends the algorithm according to the embodiment of the present invention.
  • the body balance measurement method of the smart band according to the embodiments of the present invention described above may also be embodied as computer readable codes or programs on a computer readable recording medium.
  • Computer-readable recording media include all types of recording devices that store data that can be read by a computer system. That is, the computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination.
  • the program instructions recorded on the recording medium may be those specially designed and configured for the present invention, or they may be known and available to those skilled in computer software.
  • Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disks, optical data storage devices, etc., and also implemented in the form of carrier waves (for example, transmission over the Internet). It includes being.
  • the computer readable recording medium can also be distributed over network coupled computer systems so that the computer readable code is stored and executed in a distributed fashion.
  • the biometric authentication method of the wearable device may include wirelessly communicating with a first external device, and receiving a first request signal of the first external device.
  • the first external device may be in a first security state.
  • the biometric authentication method of the wearable device may include determining whether the wearable device is in a worn state after receiving the first request signal, and transmitting non-wearing state information to the first external device when the wearable device is in a non-wear state;
  • the method may include transmitting to a first external device, and receiving first security level data and second security level data from the first external device when the wearable device is in a worn state.
  • the first external device may be in a second security state or a third security state.
  • the biometric authentication method of the wearable device may include transmitting the non-wearing state information or the first state change information to the first external device when the wearable device is changed from the wearing state to the non-wearing state, and when the wearable device is in the non-wearing state.
  • the method may include receiving only first security level data from the first external device.
  • the first external device may be in a fourth security state or a fifth security state.
  • the first request signal may be a motion data request signal for registering new biometric information.
  • the first security state may be a state in which motion data for wearer authentication of the wearable device is unregistered while the first external device is unlocked.
  • the second security state may be a state in which the lock of the first external device is released, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device is completed.
  • the third security state may be a state in which the first external device is locked, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device is completed.
  • the fourth security state may be a state in which the first external device is unlocked, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device may be unauthenticated.
  • the fifth security state may be a state in which the first external device is locked, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device may be unauthenticated.
  • the first motion data may be utilized as registration information for wearer authentication of the wearable device.
  • the first security level data may include at least one of time information, location information, vibration, or sound request information.
  • the second security level data includes at least one of telephone call notification information, telephone caller information, text message receiving information, text caller information, at least some of text contents, schedule information, mail receiving information, mail sender information, and mail contents. It may include.
  • the biometric authentication method of the wearable device may include transmitting the wearing state information or the second state switching information to the first external device when the wearable device is changed from the non-wearing state to the wearing state.
  • the first external device may be in the fourth security state or the fifth security state.
  • a second motion data collection step of collecting motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through the motion sensor, in the wearable device being worn Receiving only first security level data from the first external device, transmitting the second motion data to the first external device, and receiving first security level data and second security level data from the first external device. Receiving may include.
  • the first external device may be in a second security state or a third security state.
  • the first motion data may include a plurality of feature points extracted from information received from the motion sensor.
  • the first motion data transmitted to the first external device may extract a plurality of feature points from the first external device.
  • the first motion data may include a pair of collected motion data collected from the left arm and the right arm or the left foot and the right foot or the left waist and the right waist.
  • the first request signal includes a second request signal for requesting to collect motion data from at least one of the left arm, the left foot, and the left waist defined in the first external device, and the right arm, right foot, and right defined in the first external device. It may include a third request signal for requesting to collect the motion data from at least one of the waist.
  • the second motion data is motion data of the left arm or motion data of the right arm, motion data of the left foot, or motion data of the right foot by the first external device. It is possible to determine whether the motion data is the left waist motion data or the right waist motion.
  • the first external device may include a portable electronic device such as a smartphone, a smart pad, a notebook computer, a head mounted display, a second wearable device, and the like.
  • a portable electronic device such as a smartphone, a smart pad, a notebook computer, a head mounted display, a second wearable device, and the like.
  • the biometric authentication method of the portable electronic device may include wirelessly communicating with the wearable device, and transmitting a first request signal to the wearable device.
  • the portable electronic device may be in a first security state.
  • the biometric authentication method of the portable electronic device may include receiving wear state information of the wearable device from the wearable device, displaying a wear guide message when the wearable device is not worn, and when the wearable device is worn
  • the method may include transmitting security level data and second security level data.
  • the portable electronic device may be in a second security state or a third security state.
  • the biometric authentication method of the portable electronic device may include receiving the wearing state information or the first state change information transmitted from the wearable device when the wearable device is changed from a wearing state to a non-wearing state, wherein the wearable device is in a non-wearing state.
  • the method may include transmitting only the first security level data.
  • the portable electronic device may be in a fourth security state or a fifth security state.
  • the first request signal may be a motion data request signal for registering new biometric information.
  • the first security state may be a state in which motion data for wearer authentication of the wearable device is not registered while the portable electronic device is unlocked.
  • the second security state may be a state in which the lock of the portable electronic device is released, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device is completed.
  • the third security state may be a state in which the portable electronic device is locked, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device is completed.
  • the fourth security state may be a state in which the portable electronic device is unlocked, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device may be unauthenticated.
  • the fifth security state may be a state in which the portable electronic device is locked, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device may be unauthenticated.
  • the first motion data may be utilized as registration information for wearer authentication of the wearable device.
  • the first security level data may include at least one of time information, location information, vibration, or sound request information.
  • the second security level data includes at least one of telephone call notification information, telephone caller information, text message receiving information, text caller information, at least some of text contents, schedule information, mail receiving information, mail sender information, and mail contents. It may include.
  • the biometric authentication method of the portable electronic device may include receiving the wear state information or the second state change information when the wearable device is switched from a non-wear state to a wear state.
  • the portable electronic device may be in the fourth security state or the fifth security state.
  • a second motion data reception step of receiving motion data of a user collected for a predetermined time or while a predetermined amount of data is collected through a motion sensor included in the wearable device wherein the wearable device includes: Transmitting only the first security level data, receiving the second motion data, performing authentication based on the first motion data and the second motion data when the user is in a worn state.
  • the method may include transmitting first security level data and second security level data to the wearable device.
  • the portable electronic device may be in a second security state or a third security state.
  • the first motion data may include a plurality of feature points extracted from information received from the motion sensor.
  • the first motion data received from the wearable device may extract a plurality of feature points from the portable electronic device.
  • the first motion data may include a pair of collected motion data collected from the left arm and the right arm or the left foot and the right foot or the left waist and the right waist.
  • the first request signal includes a second request signal for requesting to collect motion data from at least one of the left arm, the left foot, and the left waist defined in the portable electronic device, and the right arm, the right foot, and the right waist defined in the portable electronic device. It may include a third request signal for requesting to collect the motion data from at least one.
  • the portable electronic device may include whether the received second motion data is motion data of a left arm or motion data of a right arm, motion data of a left foot, motion data of a right foot, motion data of a left waist, or motion data of a right waist. Can be determined.
  • the portable electronic device includes a communication module, a display unit, and a control unit wirelessly communicating with the wearable device, wherein the control unit transmits a first request signal to the wearable device when the portable electronic device is in a first security state, and the wearable device
  • the wearable device When the wearable device is in a non-wearing state by receiving wearing state information from the wearable device, a wearing guide message is displayed, and when the wearable device is in a wearing state, a certain amount of data is collected for a predetermined time or through a motion sensor provided in the wearable device.
  • the portable electronic device Receives the first motion data of the user collected while the wearable device is in a wearing state, and the portable electronic device transmits first security level data and second security level data to the wearable device in a second security state or a third security state.
  • the wearable device is switched from the wearing state to the non-wearing state, the non-wearing state information or the first state change information is received from the wearable device, and when the wearable device is in the non-wearing state, the portable electronic device is in the fourth security state or the fifth. In the secure state, only the first security level data may be transmitted to the wearable device.
  • the first motion data may include a plurality of feature points extracted from information received from the motion sensor.
  • the received first motion data may extract a plurality of feature points from the portable electronic device.
  • the first motion data may include a pair of collected motion data collected from the left arm and the right arm or the left foot and the right foot or the left waist and the right waist.
  • the first request signal includes a second request signal for requesting to collect motion data from at least one of the left arm, the left foot, and the left waist defined in the portable electronic device, and the right arm, the right foot, and the right waist defined in the portable electronic device. It may include a third request signal for requesting to collect the motion data from at least one.
  • Wireless communication with the wearable device Receiving a request to perform the first function requested by the user, Requesting a first authentication, When the first authentication is completed Performing a first function, receiving a request for execution of a second function requested by a user, requesting a second authentication, performing the second function when the second authentication is completed, from the wearable device Receiving third authentication information, performing a third authentication based on the received third authentication information, and when the third authentication is completed and a request for performing the first function is received, performing the first authentication. Requesting and performing the first function when the first authentication is completed, and request for performing the second function is received after the third authentication is completed. The case may include the step of performing the second function without the second authentication request.
  • the portable electronic device may include transmitting a first request signal to the wearable device when the portable electronic device is in a first security state.
  • the portable electronic device receives a first motion data receiving step of receiving the user's motion data collected for a predetermined time or while a predetermined amount of data is collected through a motion sensor provided in the wearable device, and registering the first motion data. It may include a step.
  • the third authentication information may be motion data of a user collected for a predetermined time or while a predetermined amount of data is collected through a motion sensor provided in the wearable device when the wearable device is changed from a non-wearing state to a wearing state.
  • the portable electronic device may be in a fourth security state or a fifth security state.
  • the first function may be a function of releasing a lock setting of the portable electronic device.
  • the second function may be at least one of login of an application, unlocking locked content, user authentication for electronic payment, and remote control of an external device.
  • the first authentication and the second authentication may be at least one of password input, fingerprint recognition, iris recognition, face recognition, touch pattern input, location information, time information, weight information, voice input, and gesture input.
  • the performing of the third authentication may include comparing a plurality of feature points of the first motion data with a plurality of feature points of the third authentication information.
  • the portable electronic device receives a request for performing a third function from an external device, and when the third authentication is not completed when the third function execution request is received, requests the first authentication and the second authentication. Perform the third function when the first authentication and the second authentication are completed; when the request for performing the third function is received, when the third authentication is completed, the first authentication and the second authentication; The third function can be performed without requesting authentication.
  • the third authentication may release the third authentication when the wearing state of the wearable device is changed.
  • the first security state may be a state in which motion data for wearer authentication of the wearable device is not registered while the portable electronic device is unlocked.
  • the fourth security state may be a state in which the portable electronic device is unlocked, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device is unauthenticated.
  • the fifth security state may be a state in which the portable electronic device is locked, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device may be unauthenticated.
  • the portable electronic device receives a fourth function execution request from an external device, and when the third authentication is not completed when the fourth function execution request is received, requests the third authentication to the wearable device.
  • the fourth function may be performed only when both the first authentication and the second authentication are completed.
  • the portable electronic device includes a communication module and a control unit for wirelessly communicating with the wearable device, and the control unit requests a first authentication upon receiving a request for performing a first function requested by a user, and when the first authentication is completed, The first function can be performed.
  • the controller may request a second authentication when the user receives a request for execution of the second function requested by the user and perform the second function when the second authentication is completed.
  • the controller may perform a third authentication based on the received third authentication information.
  • the controller may request the first authentication when the third authentication is completed and the execution request of the first function is received, and perform the first function when the first authentication is completed.
  • the controller may perform the second function without the second authentication request when the third authentication is completed and the request for performing the second function is received.
  • the controller may be configured to transmit a first request signal to the wearable device in a first security state, and the user may collect the collected data for a predetermined time or while collecting a predetermined amount of data through a motion sensor included in the wearable device.
  • the first motion data may be registered by receiving one motion data.
  • the third authentication information may be motion data of a user collected for a predetermined time or while a predetermined amount of data is collected through a motion sensor provided in the wearable device when the wearable device is changed from a non-wearing state to a wearing state.
  • the portable electronic device may be in a fourth security state or a fifth security state.
  • the controller When the third authentication is not completed when the third function reception request is received from an external device, the controller requests the first authentication and the second authentication, and the first authentication and the second authentication are completed. If so, the third function may be performed.
  • the controller may perform the third function without requesting the first authentication and the second authentication.
  • the controller requests the third authentication to the wearable device when the third authentication is not completed when the fourth function execution request is received from an external device, and when the fourth function execution request is received.
  • the fourth function may be performed only when both the first authentication and the second authentication are completed.
  • the posture correction method of the wearable device comprises the steps of wireless communication with a portable electronic device
  • the method may include receiving a first request signal of the portable electronic device.
  • the portable electronic device may be in a first security state.
  • the posture correcting method of the wearable device includes a first motion data collecting step of collecting motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through a motion sensor included in the wearable device.
  • the method may include transmitting the first motion data to the portable electronic device and receiving a second request signal of the portable electronic device.
  • the portable electronic device may be in a second security state.
  • the portable electronic device may be in a third security state.
  • the posture correcting method of the wearable device may further include collecting motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through a motion sensor provided in the wearable device. And transmitting the motion data to the portable electronic device.
  • the portable electronic device stores the first motion data, the second motion data, and the third motion data, wherein the first motion data is deleted by a separate delete command by a user.
  • the data and the third motion data may be automatically deleted by the portable electronic device when a predetermined condition is met.
  • the third motion data may allow the portable electronic device to provide an alarm to the portable electronic device or the wearable device when a difference is greater than a predetermined threshold compared to the first motion data in a third security state. have.
  • the predefined condition may be at least one of a predefined time, a predefined data amount, a derivation of a predefined arithmetic value, and a determination of data conjugation.
  • the comparison of the third motion data and the first motion data may be performed in the wearable device.
  • the comparison of the third motion data and the first motion data may be performed in the portable electronic device.
  • the wearable device may further include receiving standard motion data through a network, and the second motion data is compared with the standard motion data, when the difference is greater than a predetermined threshold, the portable electronic device or the wearable device. Can provide an alarm.
  • the portable electronic device may receive and store standard motion data through a network, and may provide an alarm to the portable electronic device or the wearable device when a difference is greater than a predetermined threshold compared to the second motion data. .
  • the first security state may be a state in which the portable electronic device is unlocked and a state in which the first motion data of the user is not registered.
  • the second security state may be a state in which the portable electronic device is unlocked and a first motion data of the user is registered.
  • the third security state may be a state in which the portable electronic device is locked and the first motion data of the user is registered.
  • the first motion data, the second motion data, and the third motion data may include a plurality of feature points extracted from information collected from the motion sensor.
  • the first motion data, the second motion data, and the third motion data may extract a plurality of feature points from the portable electronic device.
  • the first motion data may be registered as the wearable device or the portable electronic device and used as mother data for comparison with motion data collected or received later.
  • the first motion data may further update the first motion data by further using motion data of a user collected after initial registration.
  • the standard motion data may include at least one of virtual gait motion data, golf swing motion data, swimming motion data, running motion data, gymnastic motion data, and sports motion data, which become standard.
  • the standard motion data may be different according to at least one of the height, weight, age, gender, and body image of the user.
  • the wearable device may include a wireless communication unit for wirelessly communicating with a portable electronic device, a motion sensor unit for collecting motion data of a user, and a control unit, wherein the control unit includes a first device of the portable electronic device in a first security state. Receiving the request signal and collecting the first motion data generated by the user's motion for a predetermined time or while collecting a certain amount of data through the motion sensor provided in the wearable device to convert the first motion data to the portable electronic You can send to the device.
  • the control unit may receive a second request signal of the portable electronic device in a second security state, and may control the user's motion for a predetermined time or while collecting a certain amount of data through a motion sensor included in the wearable device. Collect the second motion data generated by the second motion data and transmit the second motion data to the portable electronic device.
  • the control unit may receive a third request signal of the portable electronic device in a third security state, and may control the user's motion for a predetermined time or while collecting a certain amount of data through a motion sensor included in the wearable device. Collect the third motion data generated by the transmission and transmit the third motion data to the portable electronic device.
  • the third motion data may provide an alarm to the portable electronic device or the wearable device when the portable electronic device is compared with the first motion data in a third security state and a difference is greater than a predetermined threshold. .
  • the wearable device may further include receiving standard motion data through a network, and the second motion data is compared with the standard motion data, when the difference is greater than a predetermined threshold, the portable electronic device or the wearable device. Can provide an alarm.
  • the method for measuring left and right balancing of the portable device may include wirelessly communicating with a wearable device, and receiving motion data generated by a user's motion for a predetermined time or while collecting a predetermined amount of data through a motion sensor included in the wearable device.
  • a first motion data receiving step may be included.
  • the portable electronic device may be in a first security state.
  • the method for measuring left and right balancing of the portable device includes receiving a second motion data receiving motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through the motion sensor provided in the wearable device.
  • the portable electronic device may be in a second security state.
  • the method for measuring left and right balancing of the portable device may include outputting a comparison result of the received first motion data and second motion data in a third security state.
  • the portable electronic device In the method for measuring left and right balancing of the portable electronic device, receiving the motion data generated by the user's motion for a predetermined time or while a predetermined amount of data is collected through the motion sensor provided in the wearable device. And wherein the portable electronic device is in a fourth secure state.
  • the portable electronic device may receive third motion data before the first motion data.
  • the method for measuring left and right balancing of the portable electronic device may include receiving a wearing state of the wearable device, receiving a wearing intention state of the wearable device, and providing a notification of recommending left wearing or right wearing to the wearable device.
  • the method may further include transmitting a signal to transmit the signal.
  • the wearing intention state may be a state where a threshold abnormal user motion defined by the motion sensor is detected in a non-wearing state.
  • the method for measuring left and right balancing of the portable electronic device may include: counting a collection period of the first motion data, wearing the left side of the wearable device according to whether a collection period of the first motion data meets a predefined period, or The method may further include transmitting a signal to provide a notification recommending right wearing.
  • the method for measuring left and right balancing of the portable electronic device may include determining a collection amount of the first motion data, and wearing the left side or the right side of the wearable device according to whether the collection amount of the first motion data meets a predetermined amount.
  • the method may further include transmitting a signal for providing a notification for recommending.
  • the notification may include at least one of an audible, visual, and tactile notification, and in the method of providing the notification, the output direction of the notification may be determined using the motion sensor.
  • the method for measuring left and right balancing of the portable electronic device may further include determining whether the user wears the wearable device on the right side or the left side on the basis of a part of the received motion data.
  • motion data collected through the motion sensor may be added to the first motion data or the second motion data according to the wearing direction.
  • the first security state may be a state in which the portable electronic device is locked, a state in which the first motion data is registered, and a state in which the second motion data is not registered.
  • the second security state may be a state in which the portable electronic device is locked, and a state in which the first motion data and the second motion data are registered.
  • the third security state may be a state in which the portable electronic device is unlocked, and a state in which the first motion data and the second motion data are registered.
  • the fourth security state may be a state in which the portable electronic device is locked, and a state in which the first motion data and the second motion data are not registered.
  • the first motion data and the second motion data may include a plurality of feature points extracted from information received from the motion sensor.
  • a plurality of feature points may be extracted from the first motion data and the second motion data in the portable electronic device.
  • the method for measuring left and right balancing of a portable electronic device may include: performing wireless communication with a wearable device, and performing motion data generated by a user's motion for a predetermined time or while collecting a predetermined amount of data through a motion sensor included in the first wearable device. Receiving the first motion data receiving step, wherein the portable electronic device may be in a first security state.
  • a second motion data reception step of receiving motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through the motion sensor included in a second wearable device It may include, wherein the portable electronic device may be in a first security state.
  • the portable electronic device may output a comparison result of the transmitted first motion data and second motion data when the third electronic device is in a third security state.
  • the first wearable device and the second wearable device may include wireless communication, and the transmitting of the second motion data to the portable electronic device may include transmitting the second motion data by the second wearable device to the first electronic device.
  • the wearable device may be transmitted, and the first wearable device may transmit the second motion data to the portable electronic device.
  • the first wearable device and the second wearable device may be determined according to whether the wearable device is worn on the right side of the user or on the left side of the user.
  • the portable electronic device includes a wireless communication unit, a display unit, and a control unit wirelessly communicating with the wearable device, wherein the control unit is controlled by a user's motion for a predetermined time or while collecting a predetermined amount of data through a motion sensor provided in the wearable device.
  • the first motion data for collecting the generated motion data may be received in the first security state.
  • the control unit receives, in a second security state, second motion data that collects motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through the motion sensor included in the wearable device.
  • a comparison result of the transmitted first motion data and the second motion data may be output in a third security state.
  • the controller may receive, in a fourth security state, third motion data that collects motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through the motion sensor included in the wearable device.
  • Third motion data may be received in advance of the first motion data.
  • the controller may receive a wearing intention state of the wearable device and transmit a signal to provide a notification recommending wearing the left or right wearing the wearable device.
  • the wearing intention state may be a state in which the wearable device detects a threshold abnormal user motion defined by the motion sensor in a non-wearing state.
  • the method for measuring left and right balancing of a wearable device includes wirelessly communicating with a portable electronic device and collecting motion data generated by a user's motion for a predetermined time or while collecting a predetermined amount of data through a motion sensor included in the wearable device. And collecting the first motion data and transmitting the first motion data to the portable electronic device.
  • the portable electronic device may be in a first security state.
  • a second motion data collection step of collecting motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through the motion sensor included in the wearable device, And transmitting, by the portable electronic device, the second motion data to the portable electronic device in a second secure state, wherein the portable electronic device is configured to transmit the first motion data and the second motion data when the portable electronic device is in the third secure state. You can output the comparison result.
  • the method for measuring left and right balancing of the wearable device includes: collecting a motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through the motion sensor provided in the wearable device; And transmitting the third motion data to the portable electronic device when the portable electronic device is in a fourth secure state, wherein the wearable device precedes the third motion data with the first motion data. Can be sent by
  • the method for measuring left and right balancing of the wearable device may include: determining a wearing state of the wearable device, determining a wearing intention state of the wearable device, and providing a notification of recommending left wearing or right wearing of the wearable device.
  • the wear intention state may further include a threshold abnormal user motion defined by the motion sensor in a non-wear state.
  • the method for measuring left and right balancing of the wearable device may include: counting a collection period of the first motion data, and wearing the left side or the right side of the wearable device according to whether the collection period of the first motion data satisfies a predetermined period.
  • the method may further include providing a notification recommending wearing.
  • the method for measuring left and right balancing of the wearable device may include determining left and right wear of the wearable device according to whether the collected amount of the first motion data satisfies a predetermined amount.
  • the method may further include providing a recommendation notification.
  • the notification may include at least one of an audible, visual, and tactile notification, and in the method of providing the notification, may use the motion sensor to determine an output direction of the notification.
  • the method for measuring left and right balancing of the wearable device may further include determining whether the user wears the wearable device on the right side or the left side on the basis of a part of the motion data collected by the motion sensor.
  • motion data collected through the motion sensor may be added to the first motion data or the second motion data according to the wearing direction.
  • the first security state may be a state in which the portable electronic device is locked, a state in which the first motion data is registered, and a state in which the second motion data is not registered.
  • the second security state may be a state in which the portable electronic device is locked, and a state in which the first motion data and the second motion data are registered.
  • the third security state may be a state in which the portable electronic device is unlocked, and a state in which the first motion data and the second motion data are registered.
  • the fourth security state may be a state in which the portable electronic device is locked, and a state in which the first motion data and the second motion data are not registered.
  • the first motion data and the second motion data may include a plurality of feature points extracted from information received from the motion sensor.
  • a plurality of feature points may be extracted from the first motion data and the second motion data in the portable electronic device.
  • the left and right balancing measurement method of the wearable device collects motion data generated by a user's motion during a predetermined time or while collecting a certain amount of data through a motion sensor provided in the first wearable device through wireless communication with a portable electronic device. And collecting the first motion data and transmitting the first motion data to the portable electronic device.
  • the portable electronic device may be in a first security state.
  • the method for measuring left and right balancing of a wearable device includes collecting a second motion data collected by a user's motion for a predetermined time or while a predetermined amount of data is collected through the motion sensor provided in the second wearable device; And transmitting, by the portable electronic device, the second motion data to the portable electronic device in a first secure state, wherein the portable electronic device transmits the first and second motion data when the third electronic device is in a third secure state. You can output the comparison result of.
  • the method for measuring left and right balancing of a wearable device may include wireless communication between the first wearable device and the second wearable device, and the transmitting of the second motion data to the portable electronic device may be performed by the second wearable device. And transmitting second motion data to the first wearable device, and transmitting the second motion data to the portable electronic device by the first wearable device.
  • the first wearable device and the second wearable device may be determined according to whether the wearable device is worn on the right side of the user or on the left side of the user.
  • the wearable device includes a wireless communication unit wirelessly communicating with a portable electronic device, a motion sensing unit sensing a user's motion, and a control unit, wherein the control unit uses a motion sensor provided in the wearable device for a predetermined time or a predetermined amount of data.
  • the first motion data collecting the motion data generated by the motion of the user during the collection is collected and the portable electronic device may transmit the first motion data to the portable electronic device in a first security state.
  • the control unit collects second motion data that collects motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through the motion sensor included in the wearable device.
  • the second motion data may be transmitted to the portable electronic device in a second security state, and the portable electronic device may output a comparison result between the transmitted first motion data and the second motion data when the third electronic device is in a third security state.
  • the control unit collects motion data generated by a user's motion for a predetermined time or while a predetermined amount of data is collected through the motion sensor included in the wearable device.
  • the third motion data may be transmitted to the portable electronic device, but the third motion data may be transmitted to the portable electronic device in advance of the first motion data.
  • the controller may determine a wearing state of the wearable device, determine a wearing intention state of the wearable device, and provide a notification for recommending left wearing or right wearing of the wearable device.
  • the wearing intention state may be a state where a threshold abnormal user motion defined by the motion sensor is detected in a non-wearing state.
  • At least two wearable devices may be worn on at least two parts of the body, for example, the right wrist and the left wrist or the right ankle and the left ankle, and the motion data collected from the at least two parts may be transferred to an external device.
  • a method of biometric authentication of a wearable device comprising: wirelessly communicating with a first external device in a first wearable device, wirelessly communicating with the first wearable device in a second wearable device, and transmitting the first external device in the first wearable device Receiving a first request signal of a device; At this time, the first external device may be characterized in that the first security state.
  • Step Determining whether the first wearable device and the second wearable device are in a worn state after receiving the first request signal, and transmitting non-wearing state information to the first external device when the first wearable device is in a non-wear state; Step, when the first wearable device is in a wearing state and the second wearable device is in a non-wearing state, transmitting the wearing state information to the first external device; when the first to second wearable devices are in the wearing state, 1 Motion data generated by a user's motion during a predetermined time or while a predetermined amount of data is collected through the first motion sensor of the wearable device, and for a predetermined time or a certain amount of data through the second motion sensor of the second wearable device.
  • Receiving may include.
  • the first external device may be characterized in that the fourth security state or the fifth security state.
  • the first request signal may be a motion data request signal for registering new biometric information.
  • the first security state may be a state in which motion data for wearer authentication of the first wearable device and the second wearable device is unregistered while the first external device is unlocked.
  • the second security state is a state in which the lock of the first external device is released, motion data for wearer authentication of the first wearable device and the second wearable device are registered, and a wearer of the first to second wearable devices is present. It may be characterized in that the authentication is completed.
  • the third security state is a state in which the first external device is locked, motion data for wearer authentication of the first to second wearable devices is registered, and wearer authentication of the first to second wearable devices is completed. You can do
  • the fourth security state is a state in which the first external device is unlocked, motion data for wearer authentication of the first to second wearable devices is registered, and wearer authentication of the first to second wearable devices is not authenticated. It may be characterized as.
  • the fifth security state is a state in which the first external device is locked, motion data for wearer authentication of the first to second wearable devices is registered, and wearer authentication of the first to second wearable devices is not authenticated. It can be characterized.
  • the first motion data may be utilized as registration information for wearer authentication of the first to second wearable devices.
  • the first security level data may include at least one of time information, location information, vibration, or sound request information.
  • the second security level data includes at least one of telephone call notification information, telephone caller information, text message receiving information, text caller information, at least some of text contents, schedule information, mail receiving information, mail sender information, and mail contents. It may be characterized in that it comprises a.
  • the first external device may be in the fourth security state or the fifth security state.
  • the first external device may be characterized as having a second security state or a third security state.
  • the first motion data may include a plurality of feature points extracted from the information received from the motion sensor.
  • the first motion data transmitted to the first external device may be configured to extract a plurality of feature points from the first external device.
  • the first motion data may include a pair of collected motion data collected from the left arm and the right arm or the left foot and the right foot or the left waist and the right waist.
  • the first request signal includes a second request signal for requesting to collect motion data from at least one of the left arm, the left foot, and the left waist defined in the first external device, and the right arm, right foot, and right defined in the first external device. And a third request signal for requesting to collect motion data from at least one of the waists.
  • the second motion data is motion data of the left arm or motion data of the right arm, motion data of the left foot, or motion data of the right foot by the first external device. It may be characterized by determining whether the motion data of the left, right or left motion.
  • the wearable device may include a first communication module configured to wirelessly communicate with a first wearable device, a second wearable device, a first external device included in the first wearable device, and the second wearable device.
  • a second communication module wirelessly communicating with a first wearable device, a first motion sensor detecting a user's motion included in the first wearable device, and a second motion sensor detecting a user's motion included in the second wearable device ;
  • a controller wherein the controller receives a first request signal of a first external device when the first external device is in a first security state, determines whether the first wearable device is in a worn state, and determines the first wearable.
  • the non-wear state information is transmitted to the first external device
  • the wear state information is transmitted to the first external device.
  • first to second wearable devices are in a worn state, first motion data generated by a user's motion is collected through the first to second motion sensors for a predetermined time or while a predetermined amount of data is collected.
  • the first external device Transmits the motion data to the first external device, and the first to second wearable devices
  • the first external device receives the first security level data and the second security level data from the first external device in the second security state or the third security state
  • the first to second wearable device When the wear state is changed to the non-wear state, the non-wear state information or the first state change information is transmitted to the first external device, and when the first to second wearable devices are in the non-wear state, the first external device is the fourth security. In the state or the fifth security state, only the first security level data may be received from the first external device.
  • the first motion data may include a plurality of feature points extracted from information received from the motion sensor.
  • the first motion data transmitted to the first external device may extract a plurality of feature points from the first external device.
  • the first motion data may include a pair of collected motion data collected from the left arm and the right arm or the left foot and the right foot or the left waist and the right waist.

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Abstract

L'invention concerne un dispositif portable comprenant un module de communication pour une communication sans fil avec un premier dispositif externe, un capteur de mouvement pour détecter un mouvement d'un utilisateur, et une unité de commande, et est caractérisé par la collecte de premières données de mouvement générées par le mouvement de l'utilisateur, à transmettre les premières données de mouvement collectées au premier dispositif externe, à recevoir des premières données de niveau de sécurité et des secondes données de niveau de sécurité provenant du premier dispositif externe, et à recevoir uniquement les premières données de niveau de sécurité provenant du premier dispositif externe lorsque le dispositif portable est commuté d'un état porté à un état non porté.
PCT/KR2016/006878 2016-06-27 2016-06-28 Procédé et appareil de mesure de l'équilibre corporel d'un dispositif portable Ceased WO2018004022A1 (fr)

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KR1020160080140A KR20180001252A (ko) 2016-06-27 2016-06-27 웨어러블 디바이스의 바디 밸런스 측정 방법 및 장치
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FR3109081A1 (fr) * 2020-04-08 2021-10-15 Percko Methode d’evaluation d’une posture, dispositif d’evaluation associé

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