WO2021197067A1 - Running posture detection method and wearable device - Google Patents

Abstract

Provided are a running posture detection method and a wearable device. The method is applied to the fields of artificial intelligence and human-computer interaction. The method comprises: during the process of a user running with a wearable device being worn on their left foot, the wearable device detecting a first running posture parameter of the left foot of the user, wherein the first running posture parameter is used for representing the state of the left foot of the user during the running process, or during the process of the user running with the wearable device being worn on their right foot, the wearable device detecting a second running posture parameter of the right foot of the user, wherein the second running posture parameter is used for representing the state of the right foot of the user during the running process; determining the degree of balance of the user according to the first running posture parameter and the second running posture parameter; and determining, according to the degree of balance, whether a running posture of the user is correct. In the method, a wearable device can evaluate a running posture of a user, so as to guide the user to run correctly and healthily.

Description

Method for detecting running posture and wearable equipment

Cross-references to related applications

This application claims the priority of a Chinese patent application filed with the Chinese Patent Office on March 31, 2020, the application number is 202010241551.2, and the application name is "a running posture detection method and wearable device", the entire content of which is incorporated herein by reference Applying.

Technical field

This application relates to the field of terminal technology, and in particular to a method for detecting a running posture and a wearable device.

Background technique

With the acceleration of the pace of life, human beings pay more and more attention to physical exercise. 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.

However, users themselves are often unable to make correct judgments about their running posture, and how to evaluate the user's running posture is a problem that needs to be solved.

Summary of the invention

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.

The above objectives and other objectives will be achieved through the features in the independent claims. Further implementations are embodied in the dependent claims, description and drawings.

In a first aspect, a method for detecting a running posture is provided. The method can be implemented by a wearable device, such as a wristband. The first running posture parameter of the user’s left foot; the first running posture parameter is used to characterize the state of the user’s left foot during running; or, when the user wears the wearable device on the right foot while running, the wearable device 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.

In the embodiment of the present application, 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.

In a possible design, 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.

In a possible design, 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. For example, suppose 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 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, for example, 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. The difference described here can be a difference or a ratio. For example, 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. It should be noted that 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.

In a possible design, 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.

In the embodiment of the present application, 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.

In a possible design, 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.

Of course, it should be noted that, in addition to the above-mentioned ground contact balance and impact balance, the balance may also include other balances, which are not limited in the embodiment of the present application. 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.

In a possible design, 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.

Taking the balance degree including the ground contact balance as an example, and the ground contact balance being the first ratio of the first ground contact duration of the left foot to the second ground contact duration of the right foot as an example; 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.

Taking the balance degree including the impact balance degree as an example, and assuming that the impact balance degree is the second ratio of the first impact force of the left foot to the second impact force of the right foot; the wearable device can determine whether the second ratio is at the desired value. Within the second preset range, 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.

Of course, 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.

In a possible design, 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.

That is to say, 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.

As an example, 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.

As another example, 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:

Among them, 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 total number of parameters, including balance, 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.

In a second aspect, 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.

In the embodiment of this application, 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.

In a possible design, 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.

In the embodiment of this application, 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.

In a possible design, 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 At the time corresponding to the first wave crest after the first time, 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.

In the embodiment of the present application, 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.

In a possible design, 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.

In a possible design, 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.

In the embodiment of the present application, 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.

In a third aspect, there is also provided 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.

In a fourth aspect, a wearable device is also provided, 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.

In a fifth aspect, a wearable device is also provided, 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.

In a sixth 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 first aspect.

In a seventh 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.

In an eighth aspect, a computer-readable storage medium is also provided, the 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.

In a ninth aspect, a computer-readable storage medium is also provided, the 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.

In a tenth aspect, there is also provided 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.

In an eleventh aspect, a computer program product is also provided, including instructions, which when the instructions run on a computer, cause the computer to execute the method provided in the second aspect.

For the beneficial effects from the third aspect to the eleventh aspect above, please refer to the beneficial effects of the various technical solutions proposed in the first or second aspect, which will not be repeated here.

Description of the drawings

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;

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;

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.

Detailed ways

The technical solutions in the embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

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. In some embodiments, the wearable device 100 may be a bracelet or the like. As shown in FIG. 1A, 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.

In some embodiments, 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. In some examples, the one or more input devices 101 may include any components or components capable of detecting input signals. For example, 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.

In some embodiments, one or more output devices 102 may provide various types of output. For example, 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. In some examples, the output device 102 may include any suitable components or components for providing output. For example, 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.

In some embodiments, 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. For example, 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. In some embodiments, the wearable device 100 may be a bracelet or the like. As shown in FIG. 1B, 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. For example, 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. Among them, the different processing units may be independent devices or integrated in one or more processors. Among them, 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. In other embodiments, a memory may be provided in the processor 103 to store instructions and data. In some embodiments, 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.

It should be understood that FIG. 1B is only an example of two types of sensors. In practical applications, 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.

In some embodiments, the wearable device 100 may include a display (or display), or may not include a display. For example, when the wearable device 100 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). AMOLED, flexible light-emitting diode (FLED), Miniled, MicroLed, Micro-oLed, quantum dot light-emitting diode (QLED), etc. In some embodiments, 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.

In some embodiments, the wearable device 100 may have a communication function, or may not have a communication function. For example, 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. In some embodiments, 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. In some examples, 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. One or more antennas can be used to transmit and receive electromagnetic wave signals.

In some embodiments, the mobile communication module may be coupled with one or more antennas. For example, 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. In other embodiments, the wireless communication module may also be coupled with one or more antennas. For example, 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.

In some embodiments, 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. In other embodiments, 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.

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.

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). In the figure, the wearable device is tied to the laces of the user's shoes as an example. However, this application does not limit the wearing position of the wearable device. For example, the wearable device can also be worn on the user's ankle, etc., which is not limited in the embodiment of the application. . When the user is running, 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 When the user’s running posture is incorrect, the user can be prompted to run the correct posture to help the user run healthy and correct and reduce damage to body joints.

In the embodiment of the present application, 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. In some embodiments, 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. In other embodiments, the wearable device may also include two devices, such as a main wearable device and an auxiliary wearable device. For example, 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. In the following, a wearable device is taken as an example.

It should be understood that when the number of wearable devices is 1, the user may forget to replace the left and right feet of the wearable device while wearing the wearable device. In the embodiment of the present application, 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.

In combination with the foregoing introduction, the specific implementation process of the embodiments of the present application will be described below. At least one of the embodiments of the present application includes one or more; wherein, multiple refers to greater than or equal to two. In addition, it should be understood that in the description of this application, 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.

The terms used in the following embodiments are only for the purpose of describing specific embodiments, and are not intended to limit the application. As used in the specification and appended claims of this application, the singular expressions "a", "an", "said", "above", "the" and "this" are intended to also This includes expressions such as "one or more" unless the context clearly indicates to the contrary. It should also be understood that in the embodiments of the present application, "one or more" refers to one, two or more than two; "and/or" describes the association relationship of the associated objects, indicating that there may be three relationships; for example, A and/or B can mean the situation where A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character "/" generally indicates that the associated objects before and after are in an "or" relationship.

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.

Example 1

Refer to FIG. 3, which 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:

S31. The processor in the wearable device constructs a coordinate system.

Refer to Figure 4, which 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.

S32. The motion sensor in the wearable device may send the collected motion parameters to the processor. Among them, 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.

S33. 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.

Take the left foot as an example. During the user's running, 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. In the same way, 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, and 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 following describes the determination process of the left foot contacting phase.

As an achievable way, 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. As an example, 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. Exemplarily, see (b) in FIG. 5, which is the waveform of the vertical acceleration value collected by the accelerometer changing with time. Among them, the peak value is the intersection of the dashed line and the abscissa shown in (b) in FIG.

As an achievable way, 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. As an example, 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. Exemplarily, see (a) in FIG. 5, which is a waveform of the angular velocity around the x-axis collected by the gyroscope changing with time. Among them, 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.

Corresponding to (a) and (b) in Figure 5, the processor in the wearable device can determine that the difference between T2 and T1 is the ground contact phase. In other embodiments, there may be multiple ground contact stages determined by the processor in the wearable device. Optionally, an average value of the multiple ground contact stages may be taken as the final ground contact stage.

The above is an introduction to the process of determining the ground contact phase of the left foot by the wearable device, and the same principle can be used for the determination process of the ground contact phase of the right foot, and will not be repeated.

It should be noted that 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.

S34. 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). Generally, when the left foot is in contact with the ground, the left foot (for example, the plane of the left foot) rotates around the positive z-axis (for example, the positive x-axis), that is, the yaw angle is positive. When the right foot is in contact with the ground, the right foot (for example, the plane of 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.

S35. 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.

When 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.

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.

S37: The processor in the wearable device outputs a prompt to prompt the user to change to another foot to wear the wearable device. For example, 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 There is no limitation here; or, when there is a communication connection between the wearable device and other devices, such as a mobile phone, 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.

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.

Example 2

Refer to FIG. 6, which 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:

S61: 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).

S62: 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. There are many kinds of running posture parameters. Here are some examples of running posture parameters.

1) Stride frequency and stride length. Stride frequency 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. Of course, when 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. For example, 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.

2). 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.

3) Landing impact force. When the left or right foot is on the ground, the speed direction is downward, when pushing the ground, the speed direction is upward, and the speed is reduced from the direction of speed downward to zero and then upward in a very short time. The processor in the wearable device calculates the impact force on the ground according to the acceleration change value. When the impact force on the ground is too large, it indicates that there is a lack of cushioning and damage to the body joints.

4) The amplitude of valgus. Usually, 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.

The several 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.

Wherein, 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. The difference mentioned here 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.

Specifically, the balance may include ground balance and ground balance.

Taking the ground contact balance as an example, 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.

Taking impact balance as an example, 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.

Among them, there are many ways to implement step S64, which will be introduced separately below.

The first way:

As mentioned above, 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. When the difference is small, it is determined that the user's running state is balanced, indicating that the user's running posture is correct When the difference is large, it is determined that the user's left and right feet are out of balance, indicating that the user's running posture is incorrect. Therefore, 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.

Taking the ground contact balance as an example, and taking the ground contact balance as the first ratio between the first ground contact duration of the left foot and the second ground contact duration of the right foot, 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. Taking 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.

Taking the impact balance as an example, and taking 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, 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.

Of course, 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 second way:

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. Exemplarily, 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.

Table 1

In the second way, 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.

Example 1, 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.

For example, 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, for example, 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. For example, in Table 1, 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:

Among them, 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 The total number of running posture parameters, including balance, 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.

After the processor in the wearable device determines the user's running posture, it can output the user's running posture. For example, 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. In other embodiments, 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 various embodiments of the present application can be combined arbitrarily to achieve different technical effects.

In the above-mentioned embodiments provided in the present application, the method provided in the embodiments of the present application is introduced from the perspective of the wearable device as the execution subject. In order to realize the functions in the methods provided in the above embodiments of the present application, 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.

As shown in FIG. 7, some other embodiments of the present application disclose a wearable device. 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. Although not shown, 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.

Specifically, when performing the method steps shown in FIG. 6, 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.

In a possible design, 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 .

In a possible design, 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.

In a possible design, 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.

In a possible design, 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.

In a possible design, 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.

In a possible design, 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.

In an example, 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.

In another example, 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:

Among them, 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 total number of parameters, including balance, 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.

Specifically, when performing the method steps shown in FIG. 3, 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. Exemplarily, 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.

In a possible design, 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 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.

In a possible design, when the processor 702 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.

In a possible design, 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.

It should be understood that when the wearable device shown in FIG. 7 is the wearable device 100 shown in FIG. 1B, the processor 702 may be the processor 103; the motion sensor 709 may include an accelerometer 106A, a gyroscope 106B, and the like.

As used in the above embodiments, depending on the context, the term "when" or "after" can be interpreted as meaning "if..." or "after" or "in response to determining..." or "in response to detecting …". Similarly, depending on the context, the phrase "when determining..." or "if detected (statement or event)" can be interpreted as meaning "if determined..." or "in response to determining..." or "when detected (Condition or event stated)" or "in response to detection of (condition or event stated)". In addition, in the above-mentioned embodiments, relationship terms such as first and second are used to distinguish one entity from another entity, without limiting any actual relationship and order between these entities.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented by software, it can be implemented in the form of a computer program product in whole or in part. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the processes or functions described in the embodiments of the present invention are generated in whole or in part. 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. For example, the computer instructions may be transmitted from a website, computer, server, or data center. Transmission to another website site, computer, server or data center via wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.). 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)).

It should be pointed out that a part of this patent application file contains content protected by copyright. Except for making copies of the patent documents or the contents of the recorded patent documents of the Patent Office, the copyright owner reserves the copyright.

Claims (17)

1. A method for detecting running posture, which is characterized in that it comprises:

   During the running process of the user wearing the wearable device with the left foot, the wearable device detects the first running posture parameter of the left foot of the user; the first running posture parameter is used to characterize the state of the left foot of the user during running; When the user wears the wearable device with his right foot for running, the wearable device detects the second running posture parameter of the user's right foot; the second running posture parameter is used to characterize the state of the user's right foot during running;

   The wearable device determines the balance of the user according to the first running posture parameter and the second running posture parameter;

   The wearable device determines whether the running posture of the user is correct according to the balance.
2. The method according to claim 1, wherein the first running posture parameter and the second running posture parameter include one or more of stride frequency, stride length, touchdown duration, impact strength on the ground, and valgus amplitude kind.
3. The method according to claim 2, wherein the degree of balance comprises: the difference between the same type of running posture parameter in the first running posture parameter and the second running posture parameter.
4. The method of claim 3, wherein determining the running posture of the user according to the balance degree comprises:

   Determining that the balance degree is within a preset range, and determining that the running posture of the user is correct;

   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.
5. The method according to claim 2 or 3, wherein the balance degree comprises: ground contact balance degree, and/or impact balance degree;

   Wherein, the ground contact balance is the first ratio between the first ground contact duration of the left foot and the second ground contact duration of the right foot, or is the first ground contact duration or the A first ratio of the second ground-contact duration to the sum of the first ground-touch duration and the second ground-touch duration;

   The impact balance is the second ratio between the first landing impact force of the left foot and the second landing impact force of the right foot, or, the first landing impact force or the second landing impact force The second ratio of the impact strength to the sum of the first landing impact strength and the second landing impact strength.
6. The method of claim 5, wherein the wearable device determining the running posture of the user according to the balance degree comprises:

   If it is determined that the first ratio is within a first preset range and the second ratio is within a second preset range, it is determined that the running posture of the user 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 is determined that the running posture of the user is incorrect.
7. The method according to any one of claims 1 to 3, wherein the wearable device determines whether the user's running posture is correct according to the balance degree, comprising:

   Determining a target template from a plurality of preset templates according to the degree of balance;

   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 reflects whether the running posture of the user is correct.
8. The method of claim 7, wherein the balance included in the target template is the same as or close to the balance of the user; or, the balance included in the target template, the left foot corresponding to the running The second variance of the second set formed by the posture parameters and the running posture parameters corresponding to the right foot and the first set of the first set formed by the user’s balance, the first running posture parameters and the second running posture parameters The variance is the same or close.
9. 8. The method according to claim 7, wherein the target template is the template with the largest correlation coefficient with the user among the plurality of templates; wherein the correlation coefficient satisfies the following formula:

   

   Among them, 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 total number of parameters, including balance, 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.
10. A method for prompting to wear a wearable device, characterized in that it comprises:

    When the user wears the wearable device on one foot for running, 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 it is determined that the wearable device is worn on the left foot for a first preset duration, output the 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 wearable device determines that the user's right foot is currently wearing the wearable device according to the motion parameters, and it is determined that the wearable device is worn on the right foot for a second preset duration, a second prompt is output Information, the second prompt information is used to prompt the user to change the wearable device to the left foot.
11. The method according to claim 10, wherein the determination by the wearable device according to the motion parameter to wear the wearable device on the right foot or the right foot of the user currently includes:

    When the yaw angle of the wearable device included in the motion parameter is a positive value, it is determined that the user’s left foot is wearing the wearable device; when the yaw angle is a negative value, it is determined that the user’s Wear the wearable device on the right foot;

    Wherein, the yaw angle is the yaw angle between the wearable device and a first axis, and the direction of the first axis is opposite to the direction of gravity.
12. The method of claim 11, wherein the determining whether the yaw angle is a positive value or a negative value comprises:

    The ground contact time period is determined according to the motion parameters, the ground contact time period is the length of time between the first time and the second time, and the first time is the peak corresponding to the waveform corresponding to the vertical angular velocity collected by the wearable device The second time is the time corresponding to the first wave peak after the first time on the waveform corresponding to the rotation angular velocity around the second axis collected by the wearable device, and the second axis is the time corresponding to the An axis that is perpendicular to the user's forward direction and perpendicular to the first axis;

    It is determined whether the yaw angle of the wearable device during the touchdown time period is a positive value or a negative value.
13. The method according to any one of claims 10-12, wherein the first prompt information or the second prompt information comprises: at least one of an indicator light, a vibration, a voice message, or a text message.
14. The method according to any one of claims 10-13, wherein the method further comprises:

    Collecting 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 a second running posture parameter of the right foot, where the second running posture parameter is used to characterize the state of the right foot during running;

    Determining the balance of the user according to the first running posture parameter and the second running posture parameter;

    According to the balance, it is determined whether the running posture of the user is correct.
15. A wearable device, characterized in that it comprises:

    Motion sensor, used to collect motion parameters;

    One or more processors; memory; and one or more computer programs, wherein the one or more computer programs are stored in the memory, and the one or more computer programs include instructions, when the instructions are When the wearable device is executed, the wearable device is caused to trigger the motion sensor to collect the user's motion parameters, and execute the method according to any one of claims 1-9 according to the user's motion parameters.
16. A wearable device, characterized in that it comprises:

    Motion sensor, used to collect motion parameters;

    One or more processors; memory; and one or more computer programs, wherein the one or more computer programs are stored in the memory, and the one or more computer programs include instructions, when the instructions are When the wearable device is executed, the wearable device triggers the motion sensor to collect the user's motion parameters, and executes the method according to any one of claims 10-14 according to the user's motion parameters.
17. A computer-readable storage medium, wherein the computer-readable storage medium includes a computer program, and when the computer program runs on a wearable device, the wearable device executes any one of claims 1-14. The method described.

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