Balance measurement method based on wearable device

Abstract

The invention discloses a balance measurement method based on wearable equipment, and relates to the technical field of exercise health monitoring and evaluation, and the method comprises the steps: enabling a to-be-measured user wearing a wearable bracelet on the wrist to stand according to a preset customized standing posture in a set measurement period, and collecting the monitoring data of the wearable bracelet; performing feature extraction based on the monitoring data to obtain balance feature information; and based on the balance feature information and the corresponding self-defined standing posture, carrying out balance capability evaluation. Through two postures of standing by two feet and standing by a single leg, the shaking amplitude and frequency of the body are recorded by using the gyroscope, so that the static balance capability and the single-side limb balance capability are quantitatively evaluated, and the balance capability is conveniently and quickly evaluated.

Description

Technical Field

[0001] This application relates to the technical field of sports health monitoring and evaluation, and particularly relates to a balance measurement method based on a wearable device. Background Art

[0002] Balance ability is one of the important functions of the human motor system, which involves the coordinated actions of multiple aspects such as the nervous, muscular, skeletal, and sensory systems. Good balance ability is of great significance for preventing falls, improving sports performance, and maintaining the ability to perform daily activities. In the elderly, athletes, rehabilitation patients, and the general population, the assessment and training of balance ability play crucial roles.

[0003] The maintenance of balance ability depends on multiple systems of the human body, including the visual system, vestibular system (inner ear balance organs), and proprioceptive system (sensory feedback from muscles, joints, and skin). These systems work together to enable the human body to maintain stability in various postures and movement states. For example, due to the decline of physical functions in the elderly, their balance ability decreases, making them prone to falls, resulting in serious consequences such as fractures. Athletes need good balance ability to improve sports performance and reduce sports injuries. For rehabilitation patients, the recovery of balance ability after surgery or injury is an important part of the rehabilitation process, directly affecting their ability to take care of themselves and the recovery of motor function.

[0004] Traditional methods for testing balance ability mainly include the following: Professional medical equipment testing: such as balance testers, dynamic posturography, etc. These devices can provide highly accurate measurement results, but they have disadvantages such as high cost, complex operation, and the need for professional personnel to operate, making it difficult to popularize in home or community environments. Manual observation and evaluation: By observing the performance of the subject in specific postures, such as the single-leg standing time, the stability of standing with eyes closed, etc. This method is highly subjective, greatly affected by the observer's experience, and cannot provide quantitative data. Laboratory testing: Such as in a laboratory environment, testing is carried out through devices such as pressure sensors and motion capture systems. Although these methods can provide detailed motion data, the equipment is expensive, and the testing environment is quite different from daily life scenarios, making it difficult to reflect the real situation.

[0005] With the rapid development of wearable device technology, devices such as smart bracelets and smart watches have gradually become popular due to their convenience, low cost, and high-precision sensors. The sensors built into these devices (such as gyroscopes, accelerometers, heart rate sensors, etc.) can record the motion trajectories and physiological data of the human body in real time. For example, a gyroscope can accurately measure the angular velocity and posture changes of the human body, and an accelerometer can measure the acceleration and motion trajectory of the human body. These data can be transmitted to a mobile device or cloud platform via Bluetooth or wireless network for further processing and analysis.

[0006] As a powerful smart wearable device, the wearable bracelet has built-in high-precision gyroscope sensors and accelerometers, which can record the movement trajectory and posture changes of the human body in real time. Its advantages are: High-precision sensor: It can provide high-precision motion data to meet the needs of balance ability testing. Convenience: Users can wear it anytime and anywhere without professional equipment or venues. Low cost: The price is relatively low and easy to popularize. Data transmission and processing: Supports Bluetooth and cloud platform data transmission, which is convenient for users to view and analyze data in real time.

[0007] Although wearable devices have been widely used in the field of health monitoring, there are still deficiencies in the current research on balance ability measurement. Most studies focus on using wearable devices for sports monitoring and health warning, while there is a lack of systematic methods and applications for the quantitative evaluation of balance ability, especially static balance and unilateral limb balance ability. In addition, most existing balance ability measurement methods rely on single sensor data, lack comprehensive evaluation indicators, and cannot fully reflect the balance ability of the subjects.

[0008] Therefore, a balance measurement technology based on wearable devices is proposed. Summary of the invention

[0009] In view of the defects existing in the prior art, the purpose of this application is to provide a balance measurement method based on wearable devices. Through two postures, standing with both feet together and standing on one leg, a gyroscope is used to record the amplitude and frequency of body shaking, so as to quantitatively evaluate static balance ability and unilateral limb balance ability, and to conveniently and quickly evaluate balance ability.

[0010] In order to achieve the above objectives, the technical solution adopted by this application is:

[0011] The present application provides a balance measurement method based on a wearable device, the method comprising the following steps:

[0012] During the set measurement period, the user wearing the wearable bracelet stands in a preset custom standing posture, and the monitoring data of the wearable bracelet is collected;

[0013] Based on the monitoring data, feature extraction is performed to obtain balance feature information;

[0014] Based on the balance feature information and the corresponding custom standing posture, balance ability assessment is performed; wherein,

[0015] The wearable bracelet has a built-in three-axis accelerometer and a three-axis gyroscope;

[0016] The custom standing posture includes standing with both feet together and standing on one leg;

[0017] The monitoring data includes angular velocity data, acceleration data, and corresponding time series data in a custom three-dimensional coordinate system;

[0018] The balance characteristic information includes the sway amplitude, sway frequency, standard deviation of sway amplitude, and center of gravity trajectory in the custom three-dimensional coordinate system;

[0019] The X-axis of the custom three-dimensional coordinate system is the front-back direction of the human body, the Y-axis is the left-right direction of the human body, and the Z-axis is the vertical direction.

[0020] Based on the above technical solution, in the balance ability assessment based on the balance characteristic information and the corresponding custom standing posture:

[0021] The lower the sway amplitude, the stronger the balance ability;

[0022] The lower the sway frequency, the stronger the balance ability;

[0023] The smaller the standard deviation of the sway amplitude, the stronger the balance ability;

[0024] The smaller the area of the center of gravity trajectory, the stronger the balance ability.

[0025] Based on the above technical solution, the method further includes:

[0026] After the balance ability assessment is completed, feedback the balance ability assessment result to the user to be tested.

[0027] Based on the above technical solution, the method further includes:

[0028] Construct a comprehensive balance ability assessment model;

[0029] Within a set measurement period, the user to be tested stands in a preset custom standing posture, and collects plantar pressure monitoring data;

[0030] Use the comprehensive balance ability assessment model to analyze the plantar pressure monitoring data for comprehensive balance ability assessment; wherein,

[0031] The plantar pressure monitoring data includes the moving trajectory of the center of gravity of the pressure, the moving speed of the center of gravity of the pressure, and the moving displacement of the center of gravity of the pressure.

[0032] Based on the above technical solution, using the comprehensive balance ability assessment model to analyze the plantar pressure monitoring data for comprehensive balance ability assessment includes the following steps:

[0033] Analyze the plantar pressure monitoring data using the comprehensive balance ability evaluation model to obtain the length of the moving trajectory of the center of gravity pressure center, the elliptical area of the moving trajectory of the center of gravity pressure center, the average moving speed of the center of gravity pressure center, the maximum swing amplitude of the center of gravity pressure center movement, and the minimum swing amplitude of the center of gravity pressure center movement.

[0034] Based on the above technical solution, the method further includes:

[0035] After the comprehensive balance ability evaluation is completed, feedback the comprehensive balance ability evaluation result to the user to be measured.

[0036] Compared with the prior art, the advantages of the present application are:

[0037] In the present application, through two postures of standing with feet together and standing on one leg, the gyroscope is used to record the sway amplitude and frequency of the body, so as to quantitatively evaluate the static balance ability and the unilateral limb balance ability, and conveniently and quickly evaluate the balance ability. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0039] Figure 1 It is a flowchart of the steps of the balance measurement method based on a wearable device according to an embodiment of the present application;

[0040] Figure 2 It is a technical principle diagram of the balance measurement method based on a wearable device according to an embodiment of the present application;

[0041] Figure 3 It is a simulation diagram of a custom three-dimensional coordinate system in the balance measurement method based on a wearable device according to an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] To make the objectives, technical solutions, and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present application belong to the scope of protection of the present application.

[0043] The following further elaborates on the embodiments of the present application with reference to the drawings.

[0044] The embodiment of the present application provides a balance measurement method based on a wearable device. Through two postures, standing with both feet together and standing on one leg, a gyroscope is used to record the body's shaking amplitude and frequency, so as to quantitatively evaluate static balance ability and unilateral limb balance ability, and balance ability is conveniently and quickly evaluated.

[0045] In order to achieve the above technical effects, the overall idea of this application is as follows:

[0046] A balance measurement method based on a wearable device, the method comprising the following steps:

[0047] S1. During the measurement period, the user wearing the wearable bracelet stands in a preset custom standing posture and collects monitoring data of the wearable bracelet;

[0048] S2. Extract features based on monitoring data to obtain balance feature information;

[0049] S3, based on the balance feature information and the corresponding custom standing posture, balance ability assessment is performed; wherein,

[0050] The wearable bracelet has a built-in three-axis accelerometer and three-axis gyroscope;

[0051] Customizable standing positions include standing with feet together and standing on one leg;

[0052] The monitoring data includes angular velocity data, acceleration data and corresponding time series data in a custom three-dimensional coordinate system;

[0053] The balance characteristic information includes the sway amplitude, sway frequency, sway amplitude standard deviation and center of gravity trajectory in a custom three-dimensional coordinate system;

[0054] The X-axis of the custom 3D coordinate system is the front-to-back direction of the human body, the Y-axis is the left-to-right direction of the human body, and the Z-axis is the vertical direction.

[0055] The embodiments of the present application are further described in detail below in conjunction with the accompanying drawings.

[0056] See also Figures 1 to 3 As shown, an embodiment of the present application provides a balance measurement method based on a wearable device, the method comprising the following steps:

[0057] S1. During the measurement period, the user wearing the wearable bracelet stands in a preset custom standing posture and collects monitoring data of the wearable bracelet;

[0058] S2. Extract features based on monitoring data to obtain balance feature information;

[0059] S3. Perform balance ability assessment based on the balance characteristic information and the corresponding customized standing postures, where

[0060] The wearable bracelet is built-in with a three-axis accelerometer and a three-axis gyroscope;

[0061] The customized standing postures include standing with feet together and standing on one leg;

[0062] The monitoring data includes angular velocity data, acceleration data, and the corresponding time series data in the customized three-dimensional coordinate system;

[0063] The balance characteristic information includes the sway amplitude, sway frequency, standard deviation of sway amplitude, and center of gravity trajectory in the customized three-dimensional coordinate system;

[0064] The X-axis of the customized three-dimensional coordinate system is the front-back direction of the human body, the Y-axis is the left-right direction of the human body, and the Z-axis is the vertical direction.

[0065] It should be noted that the two test modes of this application are as follows:

[0066] First, the standing with feet together test:

[0067] The user wears the wearable bracelet and conducts the test according to the posture requirements of standing with feet together.

[0068] The bracelet records the sway amplitude and frequency of the body through the gyroscope, and the data is transmitted to the mobile application for analysis.

[0069] The mobile application calculates the static balance ability according to the set evaluation indicators and feeds back the results to the user.

[0070] Second, the standing on one leg test:

[0071] The user wears the wearable bracelet and conducts the test according to the posture requirements of standing on one leg.

[0072] The bracelet records the body sway situation and standing time during the process of standing on one leg through the gyroscope.

[0073] The mobile application calculates the unilateral limb balance ability according to the set evaluation indicators and feeds back the results to the user.

[0074] In the embodiments of this application, through the two postures of standing with feet together and standing on one leg, the gyroscope is used to record the sway amplitude and frequency of the body, so as to quantitatively evaluate the static balance ability and the unilateral limb balance ability, and conveniently and quickly conduct the balance ability assessment.

[0075] It should be noted that the technical solution of the embodiment of the present application uses gyroscope and accelerometer sensors to record the complete time series of the movement trajectory, posture changes and body shaking of the human body in a specific posture, analyze the periodicity and nonlinear characteristics of the shaking (such as fractal dimension), and quantitatively evaluate the static balance ability and unilateral limb balance ability through two postures of standing with both feet together and standing on one leg. This method combines the portability of wearable devices, the high-precision measurement of sensors, and the data processing and feedback functions of mobile applications, providing a convenient and low-cost solution for personal health monitoring, sports training and rehabilitation evaluation.

[0076] Furthermore, in the balance ability assessment based on the balance feature information and the corresponding custom standing posture:

[0077] The lower the shaking amplitude, the stronger the balancing ability;

[0078] The lower the shaking frequency, the stronger the balancing ability;

[0079] The smaller the standard deviation of the shaking amplitude is, the stronger the balancing ability is;

[0080] The smaller the area of the center of gravity trajectory is, the stronger the balancing ability is.

[0081] Furthermore, the method further comprises:

[0082] After the balance ability assessment is completed, the balance ability assessment result is fed back to the user to be tested.

[0083] Furthermore, the method further comprises:

[0084] Construct a comprehensive balance ability assessment model;

[0085] During the set measurement period, the user to be tested stands in a preset custom standing posture and collects plantar pressure monitoring data;

[0086] The plantar pressure monitoring data is analyzed using the comprehensive balance ability assessment model to perform comprehensive balance ability assessment; wherein,

[0087] The plantar pressure monitoring data includes the moving trajectory of the center of gravity pressure center, the moving speed of the center of gravity pressure center and the moving displacement of the center of gravity pressure center.

[0088] Further, the plantar pressure monitoring data is analyzed using the comprehensive balance ability assessment model to perform a comprehensive balance ability assessment, including the following steps:

[0089] The plantar pressure monitoring data is analyzed using the comprehensive balance ability evaluation model to obtain the length of the center of gravity pressure movement trajectory, the elliptical area of the center of gravity pressure movement trajectory, the average speed of the center of gravity pressure movement, the maximum swing amplitude of the center of gravity pressure movement, and the minimum swing amplitude of the center of gravity pressure movement.

[0090] Furthermore, the method further comprises:

[0091] After the comprehensive balance ability assessment is completed, the comprehensive balance ability assessment result will be fed back to the user to be tested.

[0092] The embodiment of the present application provides a balance ability measurement method based on a wearable bracelet, which aims to comprehensively evaluate the static balance ability and unilateral limb balance ability of the human body by using gyroscope and accelerometer sensors through two postures: standing with both feet together and standing on one leg. In the specific implementation, it has the following technical features:

[0093] First, data collection:

[0094] (1) Sensor configuration:

[0095] The three-axis accelerometer and three-axis gyroscope built into the wearable bracelet achieve high-precision human motion monitoring through precise hardware design and intelligent algorithms. The three-axis accelerometer is based on MEMS technology, with a range of ±16g, a resolution of 0.004g / LSB, and a noise density as low as 40μg / √Hz, which can detect small acceleration changes (such as 0.02m / s 2 The three-axis gyroscope has a range of ±2000° / s, an angular velocity noise density of 0.005dps / √Hz, and a zero-bias stability of ≤1° / h. It measures the angular velocity of rotation through the Coriolis effect, and combines temperature compensation (residual <0.005dps / ℃) and differential detection structure to suppress vibration interference. Both adopt an orthogonal layout (sensitive axis deviation <0.3°) and a 12° tilt installation design, and are fixed by a wedge-shaped ceramic substrate to accurately align the sensor axis with the natural movement direction of the wrist, increasing the signal strength by 27%. At the hardware level, the sensor module is encapsulated in a Cu-Ni alloy shielding cover (shielding effectiveness ≥60dB@1GHz) and is equipped with a double-layer shock absorption system: a 0.5mm silicone damping layer absorbs high-frequency vibrations, and a 5N / mm stiffness spring suspension isolates low-frequency artifacts. The overall anti-vibration efficiency is 40% higher than that of traditional solutions.

[0096] (2) Measurement posture:

[0097] Standing with feet together: The subject stands with feet together, hands hanging naturally, eyes closed, and body upright.

[0098] Single-leg stance: The subject stands on one leg, raises the other leg, allows the hands to hang naturally, and closes the eyes.

[0099] (3) Definition of coordinate axis directions:

[0100] In a wearable bracelet, the three-dimensional coordinate system of the gyroscope is usually defined based on the physical layout of the device itself and aligned with the human motion direction. Table 1 below is the standard definition of the right-handed coordinate system (taking wearing on the wrist as an example):

[0101]

[0102]

[0103] Table 1

[0104] As shown in the attached drawings of the specification Figure 3 It is a simulated schematic diagram of the custom three-dimensional coordinate system of the bracelet.

[0105] (4) Specific data collected includes:

[0106] Angular velocity data: Record the angular velocity of the human body in the X, Y, and Z directions through the gyroscope.

[0107] Acceleration data: Record the acceleration of the human body in the X, Y, and Z directions through the accelerometer.

[0108] Time series data: Record the complete motion trajectory and posture changes of the human body during the test. Among them, the complete motion trajectory refers to the continuous position change path of the human body or a specific body part (such as the center of gravity, joints, bracelet wearing position) in three-dimensional space, usually reconstructed through sensor data (acceleration, angular velocity) integration or fusion algorithms, thereby quantifying the dynamic displacement of the human body in space and revealing the overall movement pattern and stability; while the posture change refers to the change in the relative angles or directions of various body parts over time, reflecting joint movement, muscle control, and overall posture adjustment ability, usually represented by Euler angles, quaternions, or joint angles. The combination of the two can comprehensively evaluate motor functions (such as balance, coordination, strength), providing accurate data support for disease diagnosis (Parkinson's disease, stroke), rehabilitation training, and optimization of sports performance.

[0109] Second, data processing:

[0110] (1) Data fusion:

[0111] Data fusion is the core technology of the balance ability measurement system, aiming to convert multi-source heterogeneous sensor information into high-precision and high-robustness kinematic parameters. Its implementation process is divided into three levels: sensor-level fusion, feature-level fusion, and decision-level fusion.

[0112] (2) Feature extraction:

[0113] Sway amplitude: Calculate the sway amplitude of the human body in the front-back (X-axis), left-right (Y-axis), and vertical (Z-axis) directions.

[0114] Sway frequency: Analyze the frequency spectrum distribution of the sway through Fourier transform and calculate the number of sways per unit time.

[0115] Stability index: Calculate the standard deviation (SD) of the sway amplitude. The smaller the standard deviation, the higher the stability.

[0116] Nonlinear characteristics: Calculate nonlinear characteristics such as fractal dimension to reflect the complexity of the sway.

[0117] Center of gravity trajectory: Generate the trajectory of the center of gravity shift and evaluate the balance ability through the area of the minimum circumscribed circle or ellipse.

[0118] Third, balance ability evaluation:

[0119] (1) Sway amplitude and balance ability: The smaller the sway amplitude, the stronger the balance ability of the human body in the test posture.

[0120] (2) Sway frequency and balance ability: The lower the sway frequency, the fewer adjustment actions the human body makes in maintaining balance, and the better the balance ability.

[0121] (3) Stability and balance ability: The smaller the standard deviation of the sway amplitude, the higher the stability of the human body during the test and the stronger the balance ability.

[0122] (4) Center of gravity trajectory and balance ability: The smaller the area of the center of gravity shift trajectory, the stronger the balance ability of the human body.

[0123] Fourth, based on the above characteristics, construct a comprehensive balance ability evaluation model:

[0124] (1) Static balance ability evaluation: Through the standing posture with feet together, collect parameters such as the trajectory, speed, and displacement of the center of pressure (COP) of the center of gravity through a plantar pressure platform, and analyze them in combination with the plantar pressure distribution. The main parameters include kinematic parameters:

[0125] COP trajectory length: Reflects the moving distance of the center of gravity during the test. The longer the trajectory, the worse the balance ability.

[0126] COP trajectory ellipse area: Represents the range of the center of gravity sway. The larger the area, the worse the balance ability.

[0127] COP average speed: The speed of the center of gravity sway. The faster the speed, the worse the balance ability.

[0128] Maximum / Minimum Swing: The maximum and minimum displacements of the center of gravity in the front-back or left-right directions.

[0129] (2) Dynamic Balance Ability Assessment: Evaluate the balance ability during single-leg support. Collect parameters such as the trajectory, speed, and displacement of the center of pressure (COP) of the center of gravity through a plantar pressure platform, and analyze them in combination with the plantar pressure distribution.

[0130] Comprehensive Balance Ability Score: Combine the static and dynamic balance ability data, assign different weights, and calculate the comprehensive balance ability score.

[0131] Point 5: Real-time Feedback and Personalized Application:

[0132] (1) Real-time Feedback: Analyze the data in real time through a mobile application or cloud platform and provide feedback to help users understand their balance ability status.

[0133] (2) Personalized Assessment: According to different ages, genders, and physical conditions, use a plantar pressure platform to record relevant data in dynamic balance tests; combine other assessment tools, such as Functional Movement Screen (FMS), to identify the strengths and weaknesses of the subjects in their movement patterns; analyze the plantar pressure data to extract kinematic and kinetic parameters; combine the individual characteristics of the subjects (such as disease type, exercise habits) for comprehensive analysis to identify potential balance problems; adjust the test tasks or parameters according to the preliminary assessment results.

[0134] (3) Health Risk Prediction: Collect human kinematic parameters, such as gait characteristics and center of gravity changes, through technologies such as inertial sensors, accelerometers, and gyroscopes, and analyze and predict the risk of falling through algorithms. On the one hand, walking speed, step length, gait variability, etc. are sensitive variables for distinguishing fallers from non-fallers; on the other hand, by monitoring the trajectory, speed, and displacement of the center of pressure (COP) of the center of gravity through a plantar pressure platform, the dynamic balance ability can be evaluated.

[0135] Point 6: Technical Advantages:

[0136] Multi-dimensional Data Collection: Combine gyroscopes and accelerometers to provide comprehensive motion data.

[0137] Combination of Dynamic and Static: Evaluate both static and dynamic balance abilities simultaneously through two postures: standing with feet together and standing on one leg.

[0138] Real-time and Personalized: Provide real-time feedback and personalized assessment, applicable to fields such as sports rehabilitation and geriatrics.

[0139] In summary, the technical solutions of the embodiments of the present application relate to the field of sports health monitoring and evaluation, and in particular, to a method for measuring human balance ability using sensor technology in wearable smart devices. Specifically, by using the built-in gyroscope and accelerometer sensors of the wearable bracelet, by recording the complete time series of the motion trajectory, posture changes and body shaking of the human body in a specific posture, the periodicity and nonlinear characteristics of the shaking (such as fractal dimension) are analyzed to achieve a quantitative evaluation of the static balance ability and unilateral limb balance ability of the human body. This technical solution combines the portability of wearable devices, the high-precision measurement of sensors, and the data processing and feedback functions of mobile applications, aiming to provide an efficient and convenient solution for personal health management, sports training, rehabilitation assessment, and fall prevention for the elderly.

[0140] It should be noted that the advantages of this application are as follows:

[0141] Convenience: Measurements can be made using a wearable bracelet without the need for additional professional equipment, allowing users to test their balance ability anytime and anywhere.

[0142] Quantitative assessment: The data recorded by the gyroscope can be used to quantitatively assess static balance ability and unilateral limb balance ability, providing an objective basis for health monitoring and rehabilitation assessment.

[0143] Low cost: Using widely used smart bracelets reduces the cost of balance ability measurement and is easy to promote.

[0144] Real-time feedback: The measurement data can be fed back to the user in real time through the mobile application, helping the user to understand the changes in their balance ability and adjust the training plan in time.

[0145] In the description of the present application, it should be noted that the terms "upper", "lower", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0146] It should be noted that in this application, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0147] The above are only specific embodiments of the present application, enabling those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features claimed herein.

Claims

1. A balance measurement method based on a wearable device, characterized in that The method includes the following steps: During a set measurement period, the user to be tested wearing a wrist-worn wearable bracelet stands in a preset custom standing posture, and monitors data of the wearable bracelet is collected; Based on the monitored data, feature extraction is performed to obtain balance feature information; Based on the balance feature information and the corresponding custom standing posture, balance ability assessment is performed; wherein, The wearable bracelet is built-in with a three-axis accelerometer and a three-axis gyroscope; The custom standing posture includes standing with feet together and standing on one leg; The monitored data includes angular velocity data, acceleration data, and corresponding time series data in a custom three-dimensional coordinate system; The balance feature information includes the sway amplitude, sway frequency, standard deviation of sway amplitude, and center of gravity trajectory in the custom three-dimensional coordinate system; The X-axis of the custom three-dimensional coordinate system is the front-back direction of the human body, the Y-axis is the left-right direction of the human body, and the Z-axis is the vertical direction.

2. The balance measurement method based on a wearable device according to claim 1, wherein In the balance ability assessment based on the balance feature information and the corresponding custom standing posture: The lower the sway amplitude, the stronger the balance ability; The lower the sway frequency, the stronger the balance ability; The smaller the standard deviation of the sway amplitude, the stronger the balance ability; The smaller the area of the center of gravity trajectory, the stronger the balance ability.

3. The balance measurement method based on a wearable device according to claim 1, characterized in that, The method further includes: After the balance ability assessment is completed, the balance ability assessment result is fed back to the user to be tested.

4. The balance measurement method based on a wearable device according to claim 1, characterized in that The method further includes: Construct a comprehensive balance ability assessment model; During a set measurement period, the user to be tested stands in a preset custom standing posture, and plantar pressure monitoring data is collected; The comprehensive balance ability assessment model is used to analyze the plantar pressure monitoring data for comprehensive balance ability assessment; wherein, The plantar pressure monitoring data includes the moving trajectory of the center of gravity pressure center, the moving speed of the center of gravity pressure center, and the moving displacement of the center of gravity pressure center.

5. The balance measurement method based on a wearable device according to claim 4, characterized in that, Using the comprehensive balance ability assessment model to analyze the plantar pressure monitoring data for comprehensive balance ability assessment includes the following steps: The comprehensive balance ability assessment model is used to analyze the plantar pressure monitoring data to obtain the length of the moving trajectory of the center of gravity pressure center, the elliptical area of the moving trajectory of the center of gravity pressure center, the average moving speed of the center of gravity pressure center, the maximum swing amplitude of the moving center of gravity pressure center, and the minimum swing amplitude of the moving center of gravity pressure center.

6. The balance measurement method based on a wearable device according to claim 4, characterized in that The method further includes: After the comprehensive balance ability assessment is completed, the comprehensive balance ability assessment result is fed back to the user to be tested.

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