WO2021197067A1 - Procédé de détection de posture de course et dispositif à porter sur soi - Google Patents

Procédé de détection de posture de course et dispositif à porter sur soi Download PDF

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Publication number
WO2021197067A1
WO2021197067A1 PCT/CN2021/081251 CN2021081251W WO2021197067A1 WO 2021197067 A1 WO2021197067 A1 WO 2021197067A1 CN 2021081251 W CN2021081251 W CN 2021081251W WO 2021197067 A1 WO2021197067 A1 WO 2021197067A1
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WIPO (PCT)
Prior art keywords
wearable device
user
running posture
running
balance
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PCT/CN2021/081251
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English (en)
Chinese (zh)
Inventor
季映羽
徐腾
陈霄汉
陈宜欣
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荣耀终端有限公司
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Publication of WO2021197067A1 publication Critical patent/WO2021197067A1/fr

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    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; 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
    • A61B5/103—Detecting, measuring or recording 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, mobility of a limb
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/20—Distances or displacements
    • A63B2220/22—Stride length
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/50—Force related parameters
    • A63B2220/51—Force
    • A63B2220/53—Force of an impact, e.g. blow or punch
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/62—Time or time measurement used for time reference, time stamp, master time or clock signal
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/64—Frequency, e.g. of vibration oscillation
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/80—Special sensors, transducers or devices therefor
    • A63B2220/803—Motion sensors
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2220/00—Measuring of physical parameters relating to sporting activity
    • A63B2220/80—Special sensors, transducers or devices therefor
    • A63B2220/83—Special sensors, transducers or devices therefor characterised by the position of the sensor
    • A63B2220/836—Sensors arranged on the body of the user
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2230/00—Measuring physiological parameters of the user
    • A63B2230/62—Measuring physiological parameters of the user posture

Definitions

  • This application relates to the field of terminal technology, and in particular to a method for detecting a running posture and a wearable device.
  • Running exercise is one of the most commonly used physical exercises for people. This is because running technology requires simple, no special venues, equipment, etc. are required. However, incorrect running posture can cause damage to body joints. Correct running posture is an important guarantee for continued healthy running and reduced physical damage.
  • This application provides a running posture detection method and a wearable device, which are used to detect and evaluate the running posture of a user.
  • a method for detecting a running posture is provided.
  • the method can be implemented by a wearable device, such as a wristband.
  • the second running posture parameter of the user's right foot is detected; the second running posture parameter is used to characterize the state of the user's right foot during running; according to the first running posture parameter and the second running posture
  • the parameter determines the balance of the user; according to the balance, it is determined whether the running posture of the user is correct.
  • the wearable device can determine whether the user's running posture is correct according to the running posture parameters of the user's left and right feet, which is helpful to guide the user to healthy and correct fitness.
  • the first running posture parameter and the second running posture parameter may include, but are not limited to, one or more of stride frequency, stride length, ground contact duration, impact strength on the ground, and valgus amplitude. kind. It should be understood that the above-mentioned running posture parameters are only examples, not limitations. The aforementioned running posture parameters can be used to determine whether the user's running posture is correct.
  • the degree of balance may include: the difference between the same type of running posture parameter in the first running posture parameter and the second running posture parameter.
  • the first running posture parameters include the first touchdown duration, the first impact strength and the first eversion amplitude
  • the second running posture parameters include the second touchdown duration, the second impact strength and the second outer Turn over.
  • the difference between the same type of running posture parameters in the first running posture parameter and the second running posture parameter may include: the first ground contact duration in the first running posture parameter and the second ground contact duration in the second running posture parameter And/or the difference between the first landing impact force in the first running posture parameter and the second landing impact force in the second running posture parameter, and/or, the first outside in the first running posture parameter
  • the difference between the turning amplitude and the second valgus amplitude in the second running posture parameter can be a difference or a ratio.
  • the ratio or difference between the first landing duration and the second landing duration, the ratio or difference between the first landing impact strength and the second landing impact strength, the first eversion amplitude and the second eversion The ratio or difference between the amplitudes.
  • the difference between the same type of running posture parameters in the first running posture parameter and the second running posture parameter can reflect the user balance. For example, when the difference is small, it can be determined that the user’s running state is balanced. When the difference is large, it can be determined that the user's left and right feet are out of balance.
  • determining the running posture of the user according to the balance may include: determining that the balance is within a preset range, determining that the running posture of the user is correct; determining the equality When it is not within the preset range, it is determined that the running posture of the user is incorrect.
  • the wearable device can determine the balance of the user according to the running posture parameters of the left and right feet of the user, and then determine whether the running posture is correct, which is helpful to guide the user to healthy and correct fitness.
  • the balance may specifically include: ground contact balance, and/or impact balance; wherein, the ground contact balance may be the first ground contact duration of the left foot and The first ratio between the second ground contact duration of the right foot, or may be the first ground contact duration or the second ground contact duration, and the first ground contact duration and the second ground contact duration.
  • the first ratio of the sum of ground duration; the impact balance may be the second ratio between the first impact force of the left foot and the second impact force of the right foot, or it may be the The second ratio of the first landing impact force or the second landing impact force to the sum of the first landing impact force and the second landing impact force.
  • the balance may also include other balances, which are not limited in the embodiment of the present application.
  • the wearable device can determine the running posture of the user according to the balance of the user, so as to guide the user to a healthy and correct fitness.
  • the wearable device determining the user's running posture according to the balance includes: if it is determined that the first ratio is within a first preset range, the second ratio is within the second Within a preset range, it can be determined that the user's running posture is correct; if it is determined that the first ratio is not within the first preset range, and/or the second ratio is not within the second preset range, It can be determined that the running posture of the user is incorrect.
  • the wearable device can determine the first Whether the ratio is within the first preset range, the first preset range may be, for example, [0.95-1.05]. If it is, it means that the user has good balance and it is determined that the running posture of the user is correct; otherwise, it means that the user is out of balance. Make sure that the user's running posture is incorrect.
  • the wearable device can determine whether the second ratio is at the desired value.
  • the second preset range may be, for example, [0.95-1.05]. If it is, it means that the user has good balance and the user has a correct running posture; otherwise, it means that the user is out of balance and determines the user’s running posture. Incorrect.
  • the impact balance or the ground contact balance can also be used alone to evaluate whether the user’s running posture is correct, and the ground contact balance and impact balance can also be used together to evaluate whether the user’s running posture is correct. For example, if the first If the ratio is within the first preset range and the second ratio is within the second preset range, it is determined that the running posture of the user is correct; otherwise, it is determined that the running posture of the user is incorrect. Helps to improve the accuracy of running posture detection.
  • the wearable device determining whether the user's running posture is correct according to the balance may include: determining a target template from a plurality of preset templates according to the balance, one An exemplary illustration, the balance included in the target template may be the same as or close to the determined balance of the user; thus, the running posture included in the target template is determined as the running posture of the user, and The running posture included in the target template may reflect whether the running posture of the user is correct.
  • the wearable device matches the target template among multiple preset templates according to the balance of the user, and determines that the running posture corresponding to the target template is determined as the running posture of the user, so as to improve efficiency.
  • the target template may also include the balance, the second set of running posture parameters corresponding to the left foot and the running posture parameters corresponding to the right foot, and the balance between the second variance of the user and the user.
  • the first variance of the first set formed by the first running posture parameter and the second running posture parameter is the same or close.
  • the target template may also be the template with the largest correlation coefficient with the user among multiple templates; wherein the correlation coefficient may conform to the following formula:
  • i is the i-th template among multiple templates
  • j is the current runner
  • R(i,j) is the correlation coefficient between the current runner and the i-th template
  • N is the running posture contained in the i-th template
  • a method for prompting to wear a wearable device is also provided.
  • the method can be executed by the wearable device, and the method includes: during a running process of the user wearing the wearable device on one foot, the wearable device collects motion parameters; if The wearable device determines that the user's left foot is currently wearing the wearable device according to the motion parameters, and when it is determined that the wearable device is worn on the left foot for a first preset duration, output a first prompt Information, the first prompt information is used to prompt the user to change the wearable device to the right foot; if the wearable device determines that the user’s right foot is currently wearing the wearable device according to the motion parameters, and determines When the wearable device is worn on the right foot for a second preset duration, second prompt information is output, and the second prompt information is used to prompt the user to change the wearable device to the left foot.
  • the wearable device determines whether it is currently worn on the left foot or on the right foot according to the motion parameters. If it is currently worn on the left foot, after the left foot is worn for a preset period of time, the user may be prompted to change to the right foot. Wear on the right foot. When the right foot is worn for a preset time, the user can be prompted to change to the left foot.
  • the wearable device prompts the user to change the left and right feet, which helps the wearable device to collect the motion parameters of the left and right feet, so that the user can understand their left and right feet. The state of exercise.
  • the wearable device determines that the user’s right foot or the right foot is currently wearing the wearable device according to the motion parameter, which may include: the wearable device included in the motion parameter When the yaw angle of is a positive value, it is determined that the user's left foot wears the wearable device; when the yaw angle is a negative value, it is determined that the user's right foot wears the wearable device; wherein, the The yaw angle is the yaw angle between the wearable device and the first axis, and the direction of the first axis is opposite to the direction of gravity.
  • the wearable device can determine which foot is currently worn, and if it is worn on a certain foot for a preset period of time, it can prompt the user to change the wearable device to another foot, and the wearable device prompts the user to left and right. Changing the wear of the feet helps the wearable device to collect the motion parameters of the left and right feet, so as to facilitate the user to understand the motion status of the left and right feet.
  • determining that the yaw angle is a positive value or a negative value includes: determining a ground contact time period according to the motion parameter, the ground contact time period being the first moment and the second moment
  • the first time is the time corresponding to the peak on the waveform corresponding to the vertical angular velocity collected by the wearable device;
  • the second time is the waveform corresponding to the rotation angular velocity around the second axis collected by the wearable device
  • the second axis is the axis perpendicular to the user’s forward direction and perpendicular to the first axis; determining the time during the ground contact time period
  • the yaw angle of the wearable device is positive or negative.
  • the wearable device can determine whether the wearable device is worn with the left foot or the right foot according to the yaw angle during the touchdown time period, which improves the accuracy of the judgment.
  • the first prompt information or the second prompt information may include, but is not limited to, at least one of an indicator light, a vibration, a voice message, or a text message. It should be noted that the above-mentioned prompt information is only an example and is not a limitation. It may also include more kinds of prompt information, which is not limited in the embodiments of the present application.
  • the wearable device may also collect a first running posture parameter of the left foot, where the first running posture parameter is used to characterize the state of the left foot during running; collecting the right foot The second running posture parameter, the second running posture parameter is used to characterize the state of the right foot during running; according to the first running posture parameter and the second running posture parameter, determine the user’s Balance; according to the balance, it is determined whether the running posture of the user is correct.
  • the wearable device can determine whether the user's running posture is correct according to the running posture parameters of the user's left and right feet, which is helpful to guide the user to healthy and correct fitness.
  • a wearable device including a motion sensor for collecting motion parameters; one or more processors; a memory; and one or more computer programs, wherein the one or more computer programs are stored in In the memory, the one or more computer programs include instructions, and when the instructions are executed by the wearable device, the wearable device can execute any possible design in the first aspect through the motion sensor. , Or execute any possible design method steps in the second aspect described above.
  • a wearable device including: modules/units for executing any of the above-mentioned first aspect or any one of the possible design methods of the first aspect; these modules/units can be implemented by hardware or by The hardware executes the corresponding software implementation.
  • a wearable device including: modules/units for implementing the second aspect or any one of the possible design methods of the second aspect; these modules/units can be implemented by hardware or by The hardware executes the corresponding software implementation.
  • a chip is also provided, which is coupled with a memory in a wearable device, so that the chip invokes the program instructions stored in the memory during operation to implement the method provided in the above first aspect.
  • a chip is also provided, which is coupled with a memory in a wearable device, so that the chip invokes the program instructions stored in the memory during operation to implement the method provided in the above second aspect.
  • a computer-readable storage medium includes a computer program, and when the computer program runs on a wearable device, the wearable device is caused to execute the method provided in the above-mentioned first aspect.
  • a computer-readable storage medium includes a computer program, and when the computer program runs on a wearable device, the wearable device executes the method provided in the above second aspect.
  • a computer program product including instructions, which, when the instructions run on a computer, cause the computer to execute the method provided in the above-mentioned first aspect.
  • a computer program product including instructions, which when the instructions run on a computer, cause the computer to execute the method provided in the second aspect.
  • FIG. 1A is a schematic diagram of the hardware structure of a wearable device provided by an embodiment of this application;
  • FIG. 1B is another schematic diagram of the hardware structure of a wearable device provided by an embodiment of this application.
  • Figure 2 is a schematic diagram of an application scenario provided by an embodiment of the application
  • FIG. 3 is a schematic flowchart of a method for detecting a running posture according to an embodiment of the application
  • FIG. 4 is a schematic diagram of establishing a coordinate system for a wearable device according to an embodiment of the application
  • FIG. 5 is a schematic diagram of waveforms of motion parameters provided by an embodiment of the application.
  • FIG. 6 is a schematic flowchart of another running posture detection method provided by an embodiment of the application.
  • FIG. 7 is a schematic structural diagram of a wearable device provided by an embodiment of this application.
  • the running posture detection method provided in the embodiments of this application can be applied to various electronic devices, which can be wearable electronic devices (also called wearable devices), such as watches, bracelets, clothing (such as sports wrist braces), and shoes. It can also be a non-wearable device, such as a portable electronic device with a running posture detection function, such as a mobile phone. Exemplary embodiments of portable electronic devices include, but are not limited to, carrying Or portable electronic devices with other operating systems. In the following embodiments of the present application, the electronic device is a wearable device as an example.
  • Fig. 1A shows a functional block diagram of a wearable device provided by an embodiment of the present application.
  • the wearable device 100 may be a bracelet or the like.
  • the wearable device 100 may include one or more input devices 101, one or more output devices 102 and one or more processors 103.
  • the input device 102 can detect various types of input signals (may be abbreviated as input), and the output device 104 can provide various types of output information (may be abbreviated as: output).
  • the processor 103 may receive input signals from one or more input devices 101, generate output information in response to the input signals, and output through one or more output devices 102.
  • one or more input devices 101 can detect various types of inputs and provide signals (for example, input signals) corresponding to the detected inputs, and then one or more input devices 101 can input The signal is provided to one or more processors 103.
  • the one or more input devices 101 may include any components or components capable of detecting input signals.
  • the input device 101 may include an audio sensor (such as a microphone), an optical or visual sensor (such as a camera, a visible light sensor or an invisible light sensor), a proximity light sensor, a touch sensor, a pressure sensor, and a mechanical device (such as a crown, Switches, buttons or buttons, etc.), vibration sensors, motion sensors (also called inertial sensors, such as gyroscopes, accelerometers or speed sensors, etc.), position sensors (such as global positioning system (GPS)), temperature sensors, A communication device (for example, a wired or wireless communication device), an electrode, etc., or the input device 101 may also be some combination of the above-mentioned various components.
  • an audio sensor such as a microphone
  • an optical or visual sensor such as a camera, a visible light sensor or an invisible light sensor
  • a proximity light sensor such as a touch sensor
  • a pressure sensor such as a pressure sensor
  • a mechanical device such as a crown, Switches, buttons or buttons, etc.
  • vibration sensors
  • one or more output devices 102 may provide various types of output.
  • one or more output devices 102 may receive one or more signals (for example, an output signal provided by one or more processors 103), and provide an output corresponding to the signal.
  • the output device 102 may include any suitable components or components for providing output.
  • the output device 102 may include an audio output device (such as a speaker), a visual output device (such as a lamp or a display), a tactile output device, a communication device (such as a wired or wireless communication device), etc., or the output device 102 It can also be some combination of the above-mentioned various components.
  • one or more processors 103 may be coupled to the input device 101 and the output device 102.
  • the processor 103 can communicate with the input device 101 and the output device 102.
  • one or more processors 103 may receive input signals from the input device 101 (for example, input signals corresponding to the input detected by the input device 101).
  • the one or more processors 103 may parse the received input signal to determine whether to provide one or more corresponding outputs in response to the input signal. If so, one or more processors 103 may send output signals to the output device 102 to provide output.
  • Fig. 1B shows a functional block diagram of a wearable device provided by another embodiment of the present application.
  • the wearable device 100 may be a bracelet or the like.
  • the wearable device 100 includes a processor 103, a memory 104, and a sensor module 106. It is understandable that the components shown in FIG. 1B do not constitute a specific limitation to the wearable device 100.
  • the wearable device 100 may also include more or less components than those shown in the figure, or combine certain components, or split certain components. Components, or different component arrangements.
  • the processor 103 may include one or more processing units.
  • the processor 103 may include an application processor (AP), a modem processor, a graphics processing unit (GPU), and an image signal processor. (image signal processor, ISP), controller, memory, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (NPU) Wait.
  • the different processing units may be independent devices or integrated in one or more processors.
  • the processor 103 may be the nerve center and command center of the wearable device 100.
  • the processor 103 can generate an operation control signal according to the instruction operation code and the timing signal, and complete the control of fetching and executing instructions.
  • a memory may be provided in the processor 103 to store instructions and data.
  • the memory in the processor 103 is a cache memory.
  • the memory can store instructions or data that the processor 103 has just used or cyclically used. If the processor 103 needs to use the instruction or data again, it can be directly called from the memory, which avoids repeated access and reduces the waiting time of the processor 103, thereby improving the efficiency of the system.
  • the processor 103 may run the software code/module of the running posture detection method provided by some embodiments of the present application to detect the running posture of the user.
  • the sensor module 106 may include various motion sensors, such as an accelerometer 106A, a gyroscope 106B, and the like.
  • the accelerometer 106A can be used to detect the magnitude of acceleration of the wearable device 100 in various directions (generally three-axis).
  • the gyroscope 106B may be used to detect the angular velocity of the wearable device 100 in various directions, and the like.
  • the user wears the wearable device 100, and under the drive of the user, the accelerometer 106A detects the magnitude of the acceleration in each direction, and the gyroscope 106B detects the angular velocity in each direction.
  • FIG. 1B is only an example of two types of sensors.
  • the wearable device 100 may also include more or fewer sensors, or use other sensors with the same or similar functions to replace the above-listed sensors, etc. Etc., the embodiment of the present application does not limit it.
  • the memory 104 may be used to store computer executable program code, where the executable program code includes instructions.
  • the processor 103 executes various functional applications and data processing of the wearable device 100 by running instructions stored in the memory.
  • the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, a universal flash storage (UFS), etc., which are not limited in the embodiment of the present application.
  • the wearable device 100 may include a display (or display), or may not include a display.
  • a display or may not include a display.
  • the wearable device 100 when it is a wristband, it may include a display or not, and when the wearable device 100 is a watch , Can include a display.
  • the display can be used to display running posture information or other application display interfaces.
  • the display includes a display panel.
  • the display panel can adopt liquid crystal display (LCD), organic light-emitting diode (OLED), active matrix organic light-emitting diode or active-matrix organic light-emitting diode (active-matrix organic light-emitting diode).
  • a touch sensor may be provided in the display to form a touch screen, which is not limited in the embodiment of the present application.
  • the touch sensor is used to detect touch operations acting on or near it.
  • the touch sensor may transmit the detected touch operation to the processor 103 to determine the type of touch event.
  • the visual output related to the touch operation can be provided through the display.
  • the wearable device 100 may have a communication function, or may not have a communication function.
  • the wearable device 100 may send the running posture parameters to the network side or other devices such as mobile phones connected to the wearable device 100 through the communication module, so that the other devices can evaluate the running posture of the user based on the running posture parameters.
  • the wearable device 100 may include a wireless communication module and/or a mobile communication module, and one or more antennas.
  • the wearable device 100 may implement a communication function through one or more antennas, a wireless communication module, or a mobile communication module.
  • the mobile communication module may provide a wireless communication solution including 2G/3G/4G/5G and the like applied to the wearable device 100.
  • the wireless communication module can provide applications on the wearable device 100 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), Bluetooth (BT), and global navigation satellite systems. (global navigation satellite system, GNSS), frequency modulation (FM), near field communication (NFC), infrared technology (infrared, IR) and other wireless communication solutions.
  • WLAN wireless local area networks
  • BT Bluetooth
  • GNSS global navigation satellite system
  • FM frequency modulation
  • NFC near field communication
  • IR infrared technology
  • One or more antennas can be used to transmit and receive electromagnetic wave signals.
  • the mobile communication module may be coupled with one or more antennas.
  • the mobile communication module can receive electromagnetic waves by one or more antennas, filter and amplify the received electromagnetic waves to obtain electrical signals, and transmit them to the processor 103 for processing (for example, the processor 103 determines whether to respond to the electrical signal Corresponding output).
  • the mobile communication module can also amplify the signal processed by the processor 103, and convert it into electromagnetic waves for radiation through one or more antennas.
  • the wireless communication module may also be coupled with one or more antennas.
  • the wireless communication module may receive electromagnetic waves by one or more antennas, filter and amplify the received electromagnetic waves, and transmit them to the processor 103 for processing.
  • the wireless communication module can also amplify the signal processed by the processor 103, and convert it into electromagnetic waves for radiation through one or more antennas.
  • the wearable device 100 may further include a power supply module, such as a battery, to supply power to various components in the wearable device 100, such as the processor 103 and the sensor system 106.
  • a power supply module such as a battery
  • the wearable device 100 may also be connected to a charging device (for example, through a wireless or wired connection), and the power supply module may receive electric energy input by the charging device to store electricity for the battery.
  • FIG. 1B do not constitute a specific limitation to the wearable device 100.
  • the wearable device 100 may also include more or less components than those shown in the figure, or combine certain components, or split certain components. Components, or different component arrangements.
  • Fig. 2 shows a schematic diagram of an application scenario provided by an embodiment of the present application.
  • the user wears a wearable device (such as a bracelet) on the body or clothing (clothes or shoes).
  • the wearable device is tied to the laces of the user's shoes as an example.
  • this application does not limit the wearing position of the wearable device.
  • the wearable device can also be worn on the user's ankle, etc., which is not limited in the embodiment of the application. .
  • the motion sensor on the wearable device for example, accelerometer, gyroscope, etc. collects motion parameters (such as acceleration, angular velocity, etc.), and the processor in the wearable device evaluates the user through the motion parameters using a preset evaluation algorithm
  • the processor in the wearable device evaluates the user through the motion parameters using a preset evaluation algorithm
  • the user can be prompted to run the correct posture to help the user run healthy and correct and reduce damage to body joints.
  • the wearable device can determine the running posture of the user according to the motion parameters of the left and right feet. Therefore, the wearable device needs to collect the motion parameters of the left foot and the motion parameters of the right foot.
  • there is only one wearable device such as one bracelet, and the user can replace the wearable device on the left and right feet to collect the motion parameters of the left and right feet respectively.
  • the wearable device may also include two devices, such as a main wearable device and an auxiliary wearable device.
  • the main wearable device and the auxiliary wearable device may both be bracelets, so the user can wear the two wearable devices separately On the left and right feet of the user, the corresponding motion parameters are collected respectively.
  • a wearable device is taken as an example.
  • the wearable device can detect whether the user is currently wearing the left foot or the right foot. , Assuming that it is detected to be worn on the left foot, when the wearing time reaches the preset duration, the wearable device can remind the user to replace to wear on the right foot. It should be understood that if the wearable device includes two devices, for example, the user wears the primary wearable device on the left foot and the auxiliary wearable device on the right foot, so that the user does not need to be prompted to change the wearable device.
  • At least one of the embodiments of the present application includes one or more; wherein, multiple refers to greater than or equal to two.
  • words such as “first” and “second” are only used for the purpose of distinguishing description, and cannot be understood as indicating or implying relative importance, nor can it be understood as indicating Or imply the order.
  • references described in this specification to "one embodiment” or “some embodiments”, etc. mean that one or more embodiments of the present application include a specific feature, structure, or characteristic described in combination with the embodiment. Therefore, the sentences “in one embodiment”, “in some embodiments”, “in some other embodiments”, “in some other embodiments”, etc. appearing in different places in this specification are not necessarily All refer to the same embodiment, but mean “one or more but not all embodiments” unless it is specifically emphasized otherwise.
  • the terms “including”, “including”, “having” and their variations all mean “including but not limited to”, unless otherwise specifically emphasized.
  • FIG. 3 is a schematic diagram of a process for detecting wearing of left and right feet according to an embodiment of this application. This method can be implemented by the wearable device shown in FIG. 1A or FIG. 1B. As shown in Figure 3, the process includes:
  • the processor in the wearable device constructs a coordinate system.
  • Figure 4 is a schematic diagram of a coordinate system constructed for wearable devices. Take a point (any point) on the wearable device as the coordinate center, the z-axis direction is opposite to the direction of gravity, that is, upwards, the y-axis is the user's forward direction, the x-axis is the y-axis and the z-axis is determined by the right-hand law, the x-axis It can also be understood as an axis facing the user's side.
  • the number of motion sensors included in the wearable device may be more than one. In this case, a coordinate system can be established for each sensor.
  • the motion sensor in the wearable device may send the collected motion parameters to the processor.
  • the motion sensor includes but is not limited to a gyroscope and an accelerometer.
  • the motion parameters collected by the gyroscope include the angular velocity of the wearable device around various directions (x-axis, y-axis and z-axis in Figure 4); the motion parameters collected by the accelerometer include the wearable device's angular velocity around various directions (x-axis, y-axis in Figure 4). Axis and z axis). This application does not limit the execution sequence between step S31 and step S32.
  • the processor in the wearable device determines the ground contact phase of the current foot according to the motion parameters, and the current foot is the foot of the user currently wearing the wearable device, that is, the user's left or right foot.
  • the ground contact phase can be understood as the phase where the current foot is in contact with the ground.
  • the process of the user's left foot touching the ground until leaving the ground includes: the heel of the left foot first touches the ground, then the front toe of the left foot touches the ground, the heel of the left foot first leaves the ground and then the left foot
  • the front toes are off the ground. Therefore, the start time of the left foot's ground contact phase is the time T1 when the heel of the left foot is in contact with the ground (referred to as the touch point), and the end time T2 occurs when the front toe of the left foot leaves the ground (referred to as the off point), then T2-T1
  • the time difference is the phase of the left foot touching the ground.
  • the start time of the right foot contacting phase is the time T3 when the heel of the right foot is in contact with the ground
  • the ending time is the time T4 when the front toe of the right foot leaves the ground. Then the time difference between T4-T3 is the right foot contacting phase.
  • the accelerometer in the wearable device can collect acceleration values in various directions (x-axis, y-axis, and z-axis in FIG. 4) in real time.
  • the processor in the wearable device can determine the time corresponding to the maximum acceleration in the vertical direction (z-axis direction) as the time T1 of the touch point according to the acceleration values in various directions collected by the accelerometer in real time.
  • the change of the acceleration value collected by the accelerometer over time can be presented in the form of a waveform, then the time T1 corresponding to the touch point is the time corresponding to the wave crest in the waveform.
  • FIG. 5 is the waveform of the vertical acceleration value collected by the accelerometer changing with time.
  • the peak value is the intersection of the dashed line and the abscissa shown in (b) in FIG.
  • the gyroscope in the wearable device can also collect the angular velocity of the wearable device around various directions (x-axis, y-axis, and z-axis in FIG. 4) in real time.
  • the processor in the wearable device can determine the time corresponding to the maximum value of the angular velocity around the x-axis, that is, the time T2 from the place, according to the angular velocity of the wearable device around various directions collected by the gyroscope in real time.
  • the change of the angular velocity around the x-axis collected by the gyroscope over time can also be presented in the form of a waveform, then the time T2 corresponding to the distance from the location is the time corresponding to the wave crest in the waveform.
  • the peak is the intersection of the solid line and the abscissa in (a) in Figure 5, that is, the time of departure, such as T2.
  • the processor in the wearable device can determine that the difference between T2 and T1 is the ground contact phase.
  • an average value of the multiple ground contact stages may be taken as the final ground contact stage.
  • step S33 is an optional step, that is, after the processor in the wearable device obtains the motion parameters sent by the motion sensor, it may directly determine the yaw angle of the wearable device without determining the time period of contact with the ground, and according to the yaw angle It is determined that the wearable device is worn on the left foot or the right foot, so step S33 in the figure is represented by a dotted line.
  • the processor in the wearable device determines the yaw angle of the wearable device during the ground contact phase, where the yaw angle is the deflection angle of the wearable device around the z-axis (opposite to the direction of gravity).
  • the left foot for example, the plane of the left foot
  • the right foot rotates around the negative direction of the z-axis (for example, the negative direction of the x-axis), that is, the yaw angle is negative.
  • the processor in the wearable device determines whether the wearable device is worn on the left foot or the right foot according to the yaw angle.
  • the processor in the wearable device detects that the yaw angle is positive, it can be determined that the wearable device is worn on the left foot, and when the processor in the wearable device detects that the yaw angle is negative, it can be determined that the wearable device is worn on the right foot.
  • step S36 The processor in the wearable device determines that the current time of wearing the wearable device on the foot reaches the preset time; if so, execute step S37; otherwise, wait for the preset time to arrive before executing step S37.
  • the processor in the wearable device outputs a prompt to prompt the user to change to another foot to wear the wearable device.
  • the processor can control the indicator light to turn on; or, control the motor to vibrate, or control the voice module to output voice information; or, control the display to display text information, etc. to prompt the user to change to the other foot to wear the wearable device, this application
  • the wearable device may also send an instruction to the mobile phone to prompt the user to change to another wearable device through the mobile phone.
  • the wearable device After the wearable device is worn by the user on the other foot, it can detect the motion parameters of the other foot. Therefore, in the embodiment of the present application, the wearable device can obtain the motion parameters corresponding to the left and right feet, and determine the running posture of the user according to the motion parameters of the left and right feet. That is to say, in the embodiment of the present application, the wearable device can not only prompt the user to change the left and right feet to wear the wearable device, but can also determine the user's running posture more comprehensively and accurately according to the motion parameters of the left and right feet.
  • the following embodiment introduces the process of the wearable device determining the user's running posture.
  • FIG. 6 is a schematic flowchart of a wearable device provided in an embodiment of this application for determining a user's running posture. As shown in Figure 6, the process includes:
  • the motion sensor in the wearable device collects motion parameters of the user's left and right feet, where the motion sensor includes but is not limited to a gyroscope and an accelerometer.
  • the motion parameters collected by the gyroscope include the angular velocity of the wearable device around various directions (x-axis, y-axis and z-axis in Figure 4);
  • the motion parameters collected by the accelerometer include the wearable device's angular velocity around various directions (x-axis, y-axis in Figure 4). Axis and z axis).
  • the processor in the wearable device determines the first running posture parameter of the left foot according to the motion parameter of the left foot, and determines the second running posture parameter of the right foot based on the motion parameter of the right foot.
  • running posture parameters There are many kinds of running posture parameters.
  • running posture parameters There are some examples of running posture parameters.
  • Stride frequency and stride length refers to the unit time, such as the number of landings per minute.
  • the stride frequency multiplied by the stride length equals the distance, and the distance per unit time is also the speed. Therefore, at a certain speed, the stride frequency is fast, the stride length is relatively small, and the stride frequency is slow, and the stride length is relatively large.
  • the speed is slow, people usually tend to have a slow step frequency and small stride length, and when the speed is faster, the step frequency is fast and the stride length is large.
  • the wearable device in the previous article can determine the location of the left foot and the location of the left foot; record the location of the left foot or the number of the location of the left foot in one minute, that is, the cadence.
  • the stride length can be a preset value, or the time interval between two adjacent touch points or departure points multiplied by a running speed (for example, a preset value), that is, the stride length.
  • Ground contact time refers to the length of time from touching the ground to leaving the ground with the left or right foot, that is, the above-mentioned ground contact phase. The process of the wearable device determining the duration of the ground contact according to the motion parameters will not be repeated here.
  • valgus The amplitude of valgus.
  • the left or right foot is in a state of mild inversion during the flight phase, and the process of the foot from the inversion state to the inward rolling when landing is called valgus. If the valgus is excessive, flat feet, abnormal lower limb lines of force, and ankle muscle problems are likely to occur. If the valgus is insufficient, high arches are likely to occur.
  • running posture parameters mentioned above are only examples, and more running posture parameters may be included, which will not be repeated in the embodiment of the present application.
  • S63 The processor in the wearable device determines the balance of the user according to the first running posture parameter and the second running posture parameter.
  • the balance degree may be the difference between the same type of running posture parameters in the first running posture parameter and the second running posture parameter. It is assumed that the first running posture parameters include the first touchdown duration, the first impact strength and the first eversion amplitude; the second running posture parameters include the second touchdown duration, the second impact strength and the second eversion amplitude.
  • the difference between the same type of running posture parameters in the first running posture parameter and the second running posture parameter including: the first running posture parameter between the first ground contact duration and the second running posture parameter’s second ground contact duration , And/or the difference between the first landing impact force in the first running posture parameter and the second landing impact force in the second running posture parameter, and/or the first eversion amplitude in the first running posture parameter
  • the difference between the second valgus amplitude in the second running posture parameter can be a difference or a ratio, for example, the ratio or difference between the first touchdown duration and the second touchdown duration, the ratio or difference between the first touchdown force and the second touchdown force Value, the ratio or difference between the first valgus amplitude and the second valgus amplitude.
  • the ratio is taken as an example in the following.
  • the balance may include ground balance and ground balance.
  • the ground contact balance can be the first ratio between the first ground contact duration of the left foot and the second ground contact duration of the right foot (the ratio of the first ground contact duration and the second ground contact duration) The ratio, or the ratio of the second ground contact duration to the first ground contact time); or, the ground contact balance can also be the first of the first ground contact duration and the sum of the first ground contact duration and the second ground contact duration The ratio, or, is the first ratio of the second ground-contact duration to the sum of the first ground-contact duration and the second ground-contact duration, which is not limited in the embodiment of the present application.
  • the impact balance can be the second ratio between the first impact force of the left foot and the second impact force of the right foot (the ratio of the first impact force to the second impact force, Or, the ratio of the impact force of the second landing to the impact force of the first landing); or, the impact balance can also be the second ratio of the impact force of the first landing to the sum of the impact force of the first landing and the impact force of the second landing, or , Is the second ratio of the second landing impact force to the sum of the first landing impact force and the first landing impact force, which is not limited in the embodiment of the application.
  • S64 The processor in the wearable device determines the running posture of the user according to the balance of the user.
  • step S64 there are many ways to implement step S64, which will be introduced separately below.
  • the balance is the difference between the same type of running posture parameters in the first running posture parameter and the second running posture parameter.
  • the difference is small, it is determined that the user's running state is balanced, indicating that the user's running posture is correct
  • the processor in the wearable device determines that the degree of balance is within a preset range, and determines that the running posture of the user is correct; when it is determined that the degree of equality is not within the preset range, determines the running posture of the user Incorrect.
  • the wearable device determines that the first ratio is at the above Within the first preset range, it is determined that the running posture of the user is correct, it is determined that the first ratio is not within the first preset range, and it is determined that the running posture of the user is incorrect.
  • the above first preset range as [0.95-1.05] as an example, assuming that the first ratio is less than 0.95, it indicates that the first touch time of the left foot is short, and the second touch time of the right foot is long, that is, the user is imbalanced left and right.
  • the device can prompt the user to add compensation insoles or some strength training. If the first ratio is much less than 0.95, that means the user has serious long and short legs, and prompts the user to seek professional medical treatment.
  • the wearable device determines that the second ratio is in the first 2. It is determined that the running posture of the user is correct within the preset range, the second ratio is determined not to be within the second preset range, and it is determined that the running posture of the user is incorrect. Taking the above second preset range of [0.95-1.05] as an example, assuming that the second ratio is less than 0.95, it indicates that the first impact of the left foot is small, and the second impact of the right foot is large. The wearable device can prompt the user to impact with the right foot Too large, reduce the landing force of the right foot.
  • the impact balance or the ground contact balance can also be used alone to evaluate whether the user’s running posture is correct, and the ground contact balance and impact balance can also be used together to evaluate whether the user’s running posture is correct. For example, if the first If the ratio is within the first preset range and the second ratio is within the second preset range, it is determined that the running posture of the user is correct; otherwise, it is determined that the running posture of the user is incorrect. Helps to improve the accuracy of running posture detection.
  • a database may be stored in the wearable device, and the database includes various preset templates.
  • One template includes a set of posture parameters corresponding to a running posture.
  • the database may be preset and stored in a memory in the wearable device.
  • Table 1 below shows an example of a database. It should be noted that the values in Table 1 below are only examples, not limitations.
  • the wearable device may search for a target template in the database, and determine that the corresponding running posture included in the target template is the running posture of the current runner.
  • the target template may be a module whose balance degree included in multiple templates in the database is the same as or close to the user balance degree determined in step S63. For example, taking the ground contact balance as an example, it is determined in step S63 that the user's ground contact balance is 1.2, and the template 1 in the database contains 1.3 and close to the user's ground balance, then template 1 can be determined As the target template, the running posture contained in template 1 may be the running posture of the user.
  • Example 2 The second variance of the second set of running posture parameters corresponding to the left foot, running posture parameters corresponding to the right foot, and balance included in the target template is compared with the first running posture parameters and the second running posture The first variance of the first set formed by the parameters and the balance of the user is the same or close.
  • the first running posture parameter of the user's left foot, the second running posture parameter of the right foot and the user balance constitute a first set
  • the first set includes ⁇ left foot frequency/stride length, right foot step frequency/stride length , Left foot contact time, right foot contact time, left foot impact, right foot impact, left foot impact balance, right foot impact balance, left foot impact balance, right foot impact balance ⁇ , Determine the first variance of the first set.
  • the wearable device determines the second set of running posture parameters corresponding to the left and right feet of each template in the database.
  • the corresponding second set in module 1 is ⁇ left footstep frequency/stride length, right footstep Frequency/stride length, left foot contact time, right foot contact time, left foot impact, right foot impact, left foot impact balance, right foot impact balance, left foot impact balance, right foot impact Balance ⁇ ;
  • Determine the second variance corresponding to the second set and determine the template that is closest to the first variance among the second variances among the multiple templates as the target template, and the running posture corresponding to the target template can be finalized Running posture.
  • Example 3 The target template is the template with the largest correlation coefficient with the user among multiple templates; the correlation coefficient can satisfy the following formula:
  • i is the i-th template among multiple templates
  • j is the current runner
  • R(i,j) is the correlation coefficient between the current runner and the i-th template
  • N is the i-th template included
  • n is the nth running posture parameter in the i-th template
  • F i (n) is the value of the nth running posture parameter in the i-th template, Is the average of the N running posture parameters in the i-th template
  • D j (n) is the nth running posture parameter of the current runner, including the degree of balance
  • It is the average of N running posture parameters of the current runner.
  • the correlation coefficient R(i,j) corresponding to each template can be determined by the above formula, and the template corresponding to the maximum correlation coefficient is determined as the target template, and the running posture corresponding to the target template can be the final running posture.
  • the processor in the wearable device determines the user's running posture, it can output the user's running posture.
  • the user's running posture can be output through the voice module of the voice module, or through the display on the wearable device, and it can also output guidance suggestions. If the impact on the ground is too large, the user can be prompted to reduce the landing force; for example, the user is imbalanced left and right, prompting the user Compensation insoles or some strength training can be added. If the user has serious long and short legs performance, the user is prompted to seek medical treatment for professional medical treatment.
  • the wearable device may also send information related to the user's running posture to a device connected to the wearable device, such as a mobile phone, so as to facilitate the user to view the running posture through the mobile phone.
  • the method provided in the embodiments of the present application is introduced from the perspective of the wearable device as the execution subject.
  • the electronic device may include a hardware structure and/or a software module, and realize the above functions in the form of a hardware structure, a software module, or a hardware structure plus a software module. Whether a certain function among the above-mentioned functions is executed by a hardware structure, a software module, or a hardware structure plus a software module depends on the specific application and design constraint conditions of the technical solution.
  • the wearable device is, for example, a bracelet.
  • the wearable device may include: one or more processors 702; multiple application programs 708; and a motion sensor 709
  • the above-mentioned devices can be connected through one or more communication buses 705.
  • the motion sensor 709 is used to collect motion parameters, and may be, for example, a gyroscope, an accelerometer, or the like.
  • the wearable device may also include more devices, such as a display, a speaker, and so on.
  • the one or more computer programs 704 are stored in the aforementioned memory 703 and configured to be executed by the one or more processors 702, and the one or more computer programs 704 include instructions, and the aforementioned instructions can be used for execution. Each step in FIG. 3 and the corresponding embodiment; or, used to execute each step in FIG. 6 and the corresponding embodiment.
  • the processor 702 in the wearable device may detect the first running posture of the user's left foot through the motion sensor 709 during the process of determining that the user wears the wearable device on his left foot to run. Parameters; the first running posture parameter is used to characterize the state of the user’s left foot during running; the processor 702 detects the user’s right foot through the motion sensor 709 during the process of determining that the user’s right foot is wearing the wearable device for running The second running posture parameter; the second running posture parameter is used to characterize the state of the user's right foot during running; the processor 702 according to the first running posture parameter and the second running posture parameter , Determine the balance of the user; and determine whether the running posture of the user is correct according to the balance.
  • the first running posture parameter and the second running posture parameter may include, but are not limited to, one or more of stride frequency, stride length, touchdown duration, impact strength on the ground, and eversion amplitude .
  • the degree of balance may include: the difference between the same type of running posture parameter in the first running posture parameter and the second running posture parameter.
  • the processor 702 when the processor 702 determines the running posture of the user according to the balance, it may determine that the running posture of the user is correct when the balance is within a preset range; When it is determined that the degree of equality is not within the preset range, it is determined that the running posture of the user is incorrect.
  • the balance may specifically include: ground contact balance, and/or impact balance; wherein, the ground contact balance may be the first ground contact duration of the left foot and The first ratio between the second ground contact duration of the right foot, or may be the first ground contact duration or the second ground contact duration, and the first ground contact duration and the second ground contact duration.
  • the first ratio of the sum of ground duration; the impact balance may be the second ratio between the first impact force of the left foot and the second impact force of the right foot, or it may be the The second ratio of the first landing impact force or the second landing impact force to the sum of the first landing impact force and the second landing impact force.
  • the processor 702 when the processor 702 determines the running posture of the user according to the degree of balance, it may determine that the first ratio is within a first preset range and the second ratio is within When it is within the second preset range, it is determined that the running posture of the user is correct; when it is determined that the first ratio is not in the first preset range, and/or when the second ratio is not in the second preset When it is within the range, it is determined that the running posture of the user is incorrect.
  • the processor 702 when the processor 702 determines whether the running posture of the user is correct according to the balance degree, it may determine a target template from a plurality of preset templates according to the balance degree, so The balance included in the target template is the same as or close to the balance of the user; the running posture included in the target template is determined as the running posture of the user, and the running posture included in the target template may reflect Whether the running posture of the user is correct.
  • the balance of the target template, the running posture parameters corresponding to the left foot, and the running posture parameters corresponding to the right foot constitute the second set of variance, the balance of the user, and the second set
  • the first variance of the first set formed by a running posture parameter and the second running posture parameter is the same or close.
  • the target template may be the template with the largest correlation coefficient with the user among multiple templates; wherein the correlation coefficient may satisfy the following formula:
  • i is the i-th template among multiple templates
  • j is the current runner
  • R(i,j) is the correlation coefficient between the current runner and the i-th template
  • N is the running posture contained in the i-th template
  • the processor 702 in the wearable device may trigger the motion sensor 709 in the wearable device to collect the user’s Motion parameters; if the processor 702 determines that the user’s left foot is currently wearing the wearable device according to the motion parameters, and determines that the wearable device is worn on the left foot for a first preset duration, processing The device 702 controls the output component of the wearable device to output first prompt information, where the first prompt information is used to prompt the user to change the wearable device to the right foot; if the processor 702 determines the current position according to the motion parameter When the user wears the wearable device on the right foot, and when it is determined that the wearable device is worn on the right foot for a second preset duration, the processor 702 controls the output component of the wearable device to output second prompt information.
  • the second prompt information is used to prompt the user to change the wearable device to the left foot.
  • the first prompt information or the second prompt information may include, but is not limited to, at least one of an indicator light, a vibration, a voice message, or a text message.
  • the processor 702 determines, according to the motion parameters, that when the user’s right foot or the right foot is currently wearing the wearable device, the wearable device may be included in the motion parameter
  • the yaw angle of is a positive value, it is determined that the user's left foot wears the wearable device; when the yaw angle is a negative value, it is determined that the user's right foot wears the wearable device; wherein, the The yaw angle is the yaw angle between the wearable device and the first axis, and the direction of the first axis is opposite to the direction of gravity.
  • the processor 702 when it determines that the yaw angle is a positive value or a negative value, it may determine the ground contact time period according to the motion parameter, and the ground contact time period is the first time and the first time.
  • the length of time between two moments, the first moment is the moment corresponding to the peak on the waveform corresponding to the vertical angular velocity collected by the wearable device; the second moment is the rotation angular velocity around the second axis collected by the wearable device corresponding to At the time corresponding to the first wave peak after the first time on the waveform of, the second axis is an axis perpendicular to the user’s forward direction and perpendicular to the first axis; determining the ground contact period
  • the yaw angle of the wearable device is positive or negative.
  • the processor 702 may also control the motion sensor 709 to collect the first running posture parameter of the left foot of the user, and the first running posture parameter is used to characterize the running process of the left foot. Collecting the second running posture parameter of the user’s right foot, the second running posture parameter is used to characterize the state of the right foot during running; according to the first running posture parameter and the The second running posture parameter further determines the balance of the user; according to the balance, it is determined whether the running posture of the user is correct.
  • the processor 702 may be the processor 103; the motion sensor 709 may include an accelerometer 106A, a gyroscope 106B, and the like.
  • the computer program product includes one or more computer instructions.
  • the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.
  • the computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium.
  • the computer instructions may be transmitted from a website, computer, server, or data center.
  • the computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center integrated with one or more available media.
  • the usable medium may be a magnetic medium (for example, a floppy disk, a hard disk, and a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)).

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Abstract

L'invention concerne un procédé de détection de posture de course et un dispositif à porter sur soi. Le procédé s'applique aux domaines de l'intelligence artificielle et de l'interaction homme-ordinateur. Le procédé comprend les étapes suivantes : pendant qu'un utilisateur court avec un dispositif à porter sur soi, qu'il porte au pied gauche, le dispositif à porter sur soi détecte un premier paramètre de posture de course du pied gauche de l'utilisateur, le premier paramètre de posture de course étant utilisé pour représenter l'état du pied gauche de l'utilisateur pendant le processus de course, ou pendant que l'utilisateur court avec le dispositif à porter sur soi, qu'il porte au pied droit, le dispositif à porter sur soi détecte un deuxième paramètre de posture de course du pied droit de l'utilisateur, le deuxième paramètre de posture de course étant utilisé pour représenter l'état du pied droit de l'utilisateur pendant le processus de course ; détermination du degré d'équilibre de l'utilisateur en fonction du premier paramètre de posture de course et du deuxième paramètre de posture de course ; et détermination, en fonction du degré d'équilibre, du fait qu'une posture de course de l'utilisateur est correcte ou non. Dans le procédé, un dispositif à porter sur soi peut évaluer une posture de course d'un utilisateur, de façon à guider l'utilisateur pour qu'il coure correctement et sainement.
PCT/CN2021/081251 2020-03-31 2021-03-17 Procédé de détection de posture de course et dispositif à porter sur soi WO2021197067A1 (fr)

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