Table tennis sports skill assessment method applied to wearable device

Abstract

The invention discloses a table tennis sports skill assessment method applied to wearable equipment, and relates to the technical field of sports health assessment. The method comprises the following steps: firstly, selecting different evaluation hierarchies according to table tennis motion characteristics, and determining relative weights among the different evaluation hierarchies according to the importance of each hierarchy to motion by adopting an analytic hierarchy process; establishing different evaluation indexes for each level; and finally, establishing a table tennis motion skill evaluation model based on the evaluation indexes of different evaluation levels. According to the method, the wearable device is used as a carrier, the three-axis motion data of the posture sensor of the wearable device is obtained and used for a motion skill evaluation model to accurately evaluate the skill level of a sporter, the accuracy and objectivity of skill evaluation of the table tennis sporter are improved, and the sporter is assisted in making a subsequent training plan.

Description

Technical Field

[0001] The present invention relates to the technical field of sports health assessment, and in particular to a table tennis movement skill assessment method for a wearable device. Background Art

[0002] With the rapid development of electronic science and technology, the application of smart wearable device systems in sports is becoming more and more extensive. At present, smart wearable devices are mostly used to monitor the physical parameters of athletes, and can also be used to record the movement skills of athletes. The research direction of smart wearable devices is mainly focused on the low power consumption, wear resistance, radiation, privacy, reliability, lightweight degree of equipment, etc. The main function is to calculate the characteristics of sports or estimate the consumption of sports calories.

[0003] Current wearable devices are relatively friendly to simple general sports, but the analysis of sports skills for special sports is not comprehensive, especially for table tennis, where wearable devices only measure and calculate the number of steps and calories of athletes, and research on the field of sports skill assessment has not yet been applied to wearable devices. The movements of table tennis players often rely on coaches to make subjective evaluations of their skills. This manual evaluation is too dependent on the professional level of coaches and cannot fully meet the needs of athletes in special sports such as table tennis.

[0004] This requires an objective evaluation method for table tennis movement skills, and the establishment of a movement evaluation model for table tennis. The wearable device system that uses this evaluation model can accurately evaluate the level of standardization of the athlete's current skills based on the athlete's ball-catching action, and assist the athlete in formulating subsequent skill improvement plans. It has a wide range of application scenarios.

[0005] In order to accurately evaluate the motor skill level of table tennis players and use it to assist subsequent training, two aspects of work need to be completed: first, choose to establish different evaluation levels and determine the relative weights between different evaluation levels based on the hierarchical analysis method, and establish evaluation indicators at different levels; second, according to the factors that affect the skill characteristics of table tennis, establish a table tennis player's motor skill evaluation model based on different evaluation levels and evaluation indicators. Summary of the invention

[0006] In order to solve the deficiencies in the prior art, the present invention provides a table tennis skill evaluation method applied to wearable devices. First, different evaluation levels are selected according to the characteristics of table tennis movements, and the relative weights between different evaluation levels are determined according to the importance of each level to the movement using the analytic hierarchy process; different evaluation indicators are established for each level; and finally, a table tennis movement skill evaluation model is established based on the evaluation indicators of different evaluation levels. The present invention uses a wearable device as a carrier to obtain the three-axis motion data of the wearable device posture sensor, which is used in the sports skill evaluation model to accurately evaluate the skill level of the athlete, improve the accuracy and objectivity of the skill evaluation of the table tennis athlete, and thereby assist the athlete in formulating subsequent training plans.

[0007] The technical solution adopted by the present invention comprises the following steps:

[0008] Step 1: construct an evaluation hierarchy of table tennis motion characteristics;

[0009] Step 2: Use the analytic hierarchy process to determine the relative weights between different evaluation levels and establish evaluation indicators at different levels;

[0010] Step 3: Establish a table tennis movement skill evaluation model based on evaluation indicators at different evaluation levels, that is, establish an evaluation function for each evaluation indicator;

[0011] Step 4: Obtain table tennis sports data from the wearable device and input it into the sports skill evaluation model for skill evaluation.

[0012] Furthermore, in step 1, the method for constructing the evaluation hierarchy is as follows;

[0013] S1, collect the three-dimensional acceleration of the sports action through wearable devices as the force of the table tennis player in completing a skill, that is, the adaptability of the force of the skill;

[0014] S2, collect the three-dimensional acceleration direction of the sports action through the wearable device, and use it as the force direction when the table tennis player completes an action skill, that is, the force direction adaptability of the skill;

[0015] S3, collect the three-dimensional speed of the sports action through the wearable device, and use it as the swing speed of the table tennis player in the process of completing a skill, that is, the speed adaptability of the skill;

[0016] S4, collect the three-dimensional speed direction of the sports action through the wearable device as the swing speed direction of the table tennis player in the process of completing an action skill, that is, the speed direction adaptability of the skill;

[0017] S5, collecting the three-way posture angle of the sports action through the wearable device as the swing posture angle of the table tennis player in the process of completing a movement skill, that is, the posture angle adaptability of the movement skill;

[0018] S6, according to the adaptability of the magnitude of movement skill force, the adaptability of the direction of movement skill force, the adaptability of the magnitude of movement skill speed, the adaptability of the direction of movement skill speed and the adaptability of the posture angle of movement skill obtained from S1 to S5, the table tennis movement characteristics are divided into five evaluation levels, level 1 is the adaptability of the magnitude of movement skill force, level 2 is the adaptability of the direction of skill force, level 3 is the adaptability of the magnitude of movement skill speed, level 4 is the adaptability of the direction of skill speed, level 5 is the adaptability of the posture angle of movement skill; each evaluation level is three-dimensional, so each evaluation level has three indicators.

[0019] Furthermore, in step 2, the relative weights of the five evaluation levels are determined as follows:

[0020] Based on the analytic hierarchy process, a pairwise comparison matrix is ​​constructed for the five levels, denoted as A, to determine the weights between different evaluation levels; based on the analytic hierarchy process, the pairwise comparison matrix is ​​used to determine the relative weights between the five evaluation levels, which are ω1, ω2, ω3, ω4 and ω5, and the sum of ω1, ω2, ω3, ω4 and ω5 is 1;

[0021] Furthermore, in step 2, the evaluation indicators of the five evaluation levels are constructed as follows:

[0022] Each of the five evaluation levels includes three evaluation indicators. The three evaluation indicators in level 1 are the acceleration magnitudes in three directions, the three evaluation indicators in level 2 are the acceleration directions in three directions, the three evaluation indicators in level 3 are the speed magnitudes in three directions, the three evaluation indicators in level 4 are the speed directions in three directions, and the three evaluation indicators in level 5 are the Euler angles in three directions. The three evaluation indicators in each level have the same importance, and an evaluation system containing 15 evaluation indicators is constructed.

[0023] Furthermore, in step 3, the process of establishing the table tennis movement skill evaluation model is as follows:

[0024] S1, establish the evaluation function model of level 1: the acceleration magnitude is an extremely large indicator, the collected acceleration magnitude is normalized by the Logistic function, and the acceleration magnitude is one of the three evaluation indicators of level 1; specifically, the acceleration magnitude is mapped to the interval [0,1] to achieve normalization of the acceleration magnitude, and then the normalized acceleration magnitude is used as the evaluation score of the evaluation indicator; the evaluation function of level 1 is as follows:

[0025]

[0026] where i=1,2,3,a i is the magnitude of the three-axis acceleration, the three axes are X-axis, Y-axis and Z-axis, E a is the average level of acceleration, a up is the maximum value of acceleration, a down is the minimum value of acceleration, the natural constant e≈2.71828;

[0027] S2, establish a level 2 evaluation function model: the acceleration direction is an interval-type indicator, an interval-type function is established for the collected acceleration direction to achieve normalization, and then the normalized acceleration direction is used as the evaluation score of the evaluation indicator; the level 2 evaluation function is as follows:

[0028]

[0029] Among them, h i Represents the force direction level evaluation function on the three axes,

[0030]

[0031] Among them, a_θ i represents the direction of the three-axis acceleration, k1 is the loss coefficient below the lower boundary, k2 is the loss coefficient above the upper boundary, a_θ down is the lower bound of the acceleration direction in the action skill, a_θ up It is the upper bound of the acceleration direction in the action skill;

[0032] S3, establish a level 3 evaluation function model: speed is a very large indicator, and the speed is normalized by the Logistic function. The level 3 evaluation function is as follows:

[0033]

[0034] Among them, v1, v2, and v3 are the speeds of the X-axis, Y-axis, and Z-axis respectively, Ev is the average level of speed, and v up is the maximum value of velocity, v down is the minimum value of speed;

[0035] S4, establish a level 4 evaluation function model: the speed direction is an interval indicator, an interval function is established for the collected speed direction and normalized, and the level 4 evaluation function is as follows:

[0036]

[0037] Among them, r i Represents the velocity direction level evaluation function on the three axes,

[0038]

[0039] Among them, v_θ i represents the triaxial velocity direction, k3 is the loss coefficient below the lower boundary, k4 is the loss coefficient above the upper boundary, v_θ down is the lower bound of the speed direction in the action skill, v_θ up It is the upper limit of the speed direction in the action skill;

[0040] S5, establish the evaluation function model of level 5: the attitude angle direction should be an interval indicator, establish an interval function for the collected attitude data and realize normalization. The evaluation function of level 5 is as follows:

[0041]

[0042] Among them, g i represents the attitude angle level evaluation function on three axes,

[0043]

[0044] Among them, α i is the attitude angle value, k5 is the loss coefficient when the attitude angle is lower than the lower boundary, k6 is the loss coefficient when the attitude angle is higher than the upper boundary, α down is the lower bound of the posture angle in the action skill, α up It is the upper limit of the posture angle in action skills;

[0045] S6, construct a table tennis movement skill evaluation function model Q, the calculation formula of Q is as follows:

[0046] Q=ω1q1+ω2q2+ω3q3+ω4q4+ω5q5

[0047] Furthermore, the pairwise comparison matrix When , the relative weights among the five evaluation levels are ω1=0.0556, ω2=0.2055, ω3=0.0592, ω4=0.1715, ω5=0.5081;

[0048] According to the importance of each level, the hierarchical analysis method is used to redefine the pairwise comparison matrix and the relative weight of each evaluation level.

[0049] Beneficial effects of the present invention:

[0050] The present invention establishes a table tennis action skill assessment method, which is applied to a wearable device to accurately assess the standardization of various action skills of table tennis players, thereby assisting players in formulating subsequent skill improvement plans;

[0051] The present invention avoids the tedious and error-prone process of manually judging the level of action skills, improves the precision, accuracy and objectivity of judgment in sports training, improves the deficiencies of wearable devices in the field of skill assessment for table tennis, and expands the application scope of wearable devices for table tennis.

[0052] The present invention can effectively improve the wearable device's ability to evaluate the movement skills of special sports, assist table tennis players in conducting targeted skill improvement training, help players to formulate further training plans, and thus improve the deficiencies of wearable devices in the field of skill evaluation for the special sport of table tennis. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic diagram of the process of the present invention;

[0054] Figure 2 This is a chart showing the results of the table tennis player’s motor skills assessment. DETAILED DESCRIPTION

[0055] The present invention is further described below in conjunction with the accompanying drawings and embodiments. The present invention includes but is not limited to the following embodiments.

[0056] The present invention provides a table tennis skill evaluation method applied to wearable devices. First, different evaluation levels are selected according to the characteristics of table tennis movements, and the relative weights between different evaluation levels are determined according to the importance of each level to the movement using the analytic hierarchy process; different evaluation indicators are established for each level; and finally, a table tennis movement skill evaluation model is established based on the evaluation indicators of different evaluation levels. The present invention uses a wearable device as a carrier to obtain three-axis motion data of a posture sensor of the wearable device, which is used in a sports skill evaluation model to accurately evaluate the skill level of the athlete, improve the accuracy and objectivity of the skill evaluation of the table tennis athlete, and thereby assist the athlete in formulating subsequent training plans.

[0057] The technical solution adopted by the present invention comprises the following steps:

[0058] Step 1: construct an evaluation hierarchy of table tennis motion characteristics;

[0059] Step 2: Use the analytic hierarchy process to determine the relative weights between different evaluation levels and establish evaluation indicators at different levels;

[0060] Step 3: Establish a table tennis movement skill evaluation model based on evaluation indicators at different evaluation levels, that is, establish an evaluation function for each evaluation indicator;

[0061] Step 4: Obtain table tennis sports data from the wearable device and input it into the sports skill evaluation model for skill evaluation.

[0062] Furthermore, in step 1, the method for constructing the evaluation hierarchy is as follows;

[0063] S1, collect the three-dimensional acceleration of the sports action through wearable devices as the force of the table tennis player in completing a skill, that is, the adaptability of the force of the skill;

[0064] S2, collect the three-dimensional acceleration direction of the sports action through the wearable device, and use it as the force direction when the table tennis player completes an action skill, that is, the force direction adaptability of the skill;

[0065] S3, collect the three-dimensional speed of the sports action through the wearable device, and use it as the swing speed of the table tennis player in the process of completing a skill, that is, the speed adaptability of the skill;

[0066] S4, collect the three-dimensional speed direction of the sports action through the wearable device as the swing speed direction of the table tennis player in the process of completing an action skill, that is, the speed direction adaptability of the skill;

[0067] S5, collecting the three-way posture angle of the sports action through the wearable device as the swing posture angle of the table tennis player in the process of completing a movement skill, that is, the posture angle adaptability of the movement skill;

[0068] S6, according to the adaptability of the magnitude of movement skill force, the adaptability of the direction of movement skill force, the adaptability of the magnitude of movement skill speed, the adaptability of the direction of movement skill speed and the adaptability of the posture angle of movement skill obtained from S1 to S5, the table tennis movement characteristics are divided into five evaluation levels, level 1 is the adaptability of the magnitude of movement skill force, level 2 is the adaptability of the direction of skill force, level 3 is the adaptability of the magnitude of movement skill speed, level 4 is the adaptability of the direction of skill speed, level 5 is the adaptability of the posture angle of movement skill; each evaluation level is three-dimensional, so each evaluation level has three indicators.

[0069] Furthermore, in step 2, the relative weights of the five evaluation levels are determined as follows:

[0070] Based on the analytic hierarchy process, a pairwise comparison matrix is ​​constructed for the five levels, denoted as A, to determine the weights between different evaluation levels; based on the analytic hierarchy process, the pairwise comparison matrix is ​​used to determine the relative weights between the five evaluation levels, which are ω1, ω2, ω3, ω4 and ω5, and the sum of ω1, ω2, ω3, ω4 and ω5 is 1;

[0071] In step 2, the evaluation indicators of the five evaluation levels are constructed as follows:

[0072] Each of the five evaluation levels includes three evaluation indicators. The three evaluation indicators in level 1 are the acceleration magnitudes in three directions, the three evaluation indicators in level 2 are the acceleration directions in three directions, the three evaluation indicators in level 3 are the speed magnitudes in three directions, the three evaluation indicators in level 4 are the speed directions in three directions, and the three evaluation indicators in level 5 are the Euler angles in three directions. The three evaluation indicators in each level have the same importance, and an evaluation system containing 15 evaluation indicators is constructed.

[0073] Furthermore, in step 3, the process of establishing the table tennis movement skill evaluation model is as follows:

[0074] S1, establish the evaluation function model of level 1: the acceleration magnitude is an extremely large indicator, the collected acceleration magnitude is normalized by the Logistic function, and the acceleration magnitude is one of the three evaluation indicators of level 1; specifically, the acceleration magnitude is mapped to the interval [0,1] to achieve normalization of the acceleration magnitude, and then the normalized acceleration magnitude is used as the evaluation score of the evaluation indicator; the evaluation function of level 1 is as follows:

[0075]

[0076] where i=1,2,3,a i is the magnitude of the three-axis acceleration, the three axes are X-axis, Y-axis and Z-axis, E a is the average level of acceleration, a up is the maximum value of acceleration, a down is the minimum value of acceleration, the natural constant e≈2.71828;

[0077] S2, establish a level 2 evaluation function model: the acceleration direction is an interval-type indicator, an interval-type function is established for the collected acceleration direction to achieve normalization, and then the normalized acceleration direction is used as the evaluation score of the evaluation indicator; the level 2 evaluation function is as follows:

[0078]

[0079] Among them, h i Represents the force direction level evaluation function on the three axes,

[0080]

[0081] Among them, a_θ i represents the direction of the three-axis acceleration, k1 is the loss coefficient below the lower boundary, k2 is the loss coefficient above the upper boundary, a_θ down is the lower bound of the acceleration direction in the action skill, a_θ up It is the upper bound of the acceleration direction in the action skill;

[0082] S3, establish a level 3 evaluation function model: speed is a very large indicator, and the speed is normalized by the Logistic function. The level 3 evaluation function is as follows:

[0083]

[0084] Among them, v1, v2, and v3 are the speeds of the X-axis, Y-axis, and Z-axis respectively, Ev is the average level of speed, and v up is the maximum value of velocity, v down is the minimum value of speed;

[0085] S4, establish a level 4 evaluation function model: the speed direction is an interval indicator, an interval function is established for the collected speed direction and normalized, and the level 4 evaluation function is as follows:

[0086]

[0087] Among them, r i Represents the velocity direction level evaluation function on the three axes,

[0088]

[0089] Among them, v_θ i represents the triaxial velocity direction, k3 is the loss coefficient below the lower boundary, k4 is the loss coefficient above the upper boundary, v_θ down is the lower bound of the speed direction in the action skill, v_θ up It is the upper limit of the speed direction in the action skill;

[0090] S5, establish the evaluation function model of level 5: the attitude angle direction should be an interval indicator, establish an interval function for the collected attitude data and realize normalization. The evaluation function of level 5 is as follows:

[0091]

[0092] Among them, g i represents the attitude angle level evaluation function on three axes,

[0093]

[0094] Among them, α i is the attitude angle value, k5 is the loss coefficient when the attitude angle is lower than the lower boundary, k6 is the loss coefficient when the attitude angle is higher than the upper boundary, α down is the lower bound of the posture angle in the action skill, α up It is the upper limit of the posture angle in action skills;

[0095] S6, construct a table tennis movement skill evaluation function model Q, the calculation formula of Q is as follows:

[0096] Q=ω1q1+ω2q2+ω3q3+ω4q4+ω5q5

[0097] Furthermore, the pairwise comparison matrix When , the relative weights among the five evaluation levels are ω1=0.0556, ω2=0.2055, ω3=0.0592, ω4=0.1715, ω5=0.5081;

[0098] According to the importance of each level, the hierarchical analysis method is used to redefine the pairwise comparison matrix and the relative weight of each evaluation level.

[0099] The above evaluation system, parameters and models were used to evaluate the motion data of 50 professional athletes and 50 amateur athletes. The results of the table tennis skill evaluation method applied to wearable devices are as follows: Figure 2 As shown in the figure. The horizontal axis represents the number of exercise groups, and the vertical axis represents the score. The red data is the action evaluation results of professional athletes in 50 training groups, and the blue data is the action evaluation results of amateur athletes in 50 training groups. It can be seen that the red data scores are generally higher than the blue data scores. In general, the action skill scores of professional athletes are better than those of amateur athletes.

[0100] It is proved that the table tennis skill assessment method applied to wearable devices proposed in the present invention can effectively assess the skill standardization degree of the athlete, can be applied to wearable devices and accurately assess the movement skill level from five levels, and provide technical support for the subsequent auxiliary athletes to further formulate training plans.

[0101] It is understandable that those skilled in the art can make equivalent substitutions or changes based on the technical solution and inventive concept of the present invention, and all these changes or substitutions should fall within the protection scope of the claims attached to the present invention.

Claims

1. A table tennis motion skill assessment method for a wearable device, characterized in that: The skill assessment method comprises the following steps: Step 1: construct an evaluation hierarchy of table tennis motion characteristics; Step 2: Use the analytic hierarchy process to determine the relative weights between different evaluation levels and establish evaluation indicators at different levels; Step 3: Establish a table tennis movement skill evaluation model based on evaluation indicators at different evaluation levels, that is, establish an evaluation function for each evaluation indicator; Step 4: Obtain table tennis sports data from the wearable device and input it into the sports skill evaluation model for skill evaluation.

2. The table tennis movement skill evaluation method for a wearable device according to claim 1, characterized in that: In step 1, the evaluation level is constructed as follows: S1, collect the three-dimensional acceleration of the sports action through wearable devices as the force of the table tennis player in completing a skill, that is, the adaptability of the force of the skill; S2, collect the three-dimensional acceleration direction of the sports action through the wearable device, and use it as the force direction when the table tennis player completes an action skill, that is, the force direction adaptability of the skill; S3, collect the three-dimensional speed of the sports action through the wearable device, and use it as the swing speed of the table tennis player in the process of completing a skill, that is, the speed adaptability of the skill; S4, collect the three-dimensional speed direction of the sports action through the wearable device as the swing speed direction of the table tennis player in the process of completing an action skill, that is, the speed direction adaptability of the skill; S5, collecting the three-way posture angle of the sports action through the wearable device as the swing posture angle of the table tennis player in the process of completing a movement skill, that is, the posture angle adaptability of the movement skill; S6, according to the adaptability of the magnitude of movement skill force, the adaptability of the direction of movement skill force, the adaptability of the magnitude of movement skill speed, the adaptability of the direction of movement skill speed and the adaptability of the posture angle of movement skill obtained from S1 to S5, the table tennis movement characteristics are divided into five evaluation levels, level 1 is the adaptability of the magnitude of movement skill force, level 2 is the adaptability of the direction of skill force, level 3 is the adaptability of the magnitude of movement skill speed, level 4 is the adaptability of the direction of skill speed and level 5 is the adaptability of the posture angle of movement skill.

3. The table tennis movement skill evaluation method for a wearable device according to claim 1, characterized in that: In step 2, the relative weights of the five evaluation levels are determined as follows: Based on the hierarchical analysis method, a pairwise comparison matrix is ​​constructed for the five levels, denoted as A, to determine the weights between different evaluation levels; based on the hierarchical analysis method, the pairwise comparison matrix is ​​used to determine the relative weights between the five evaluation levels, which are ω1, ω2, ω3, ω4 and ω5, and the sum of ω1, ω2, ω3, ω4 and ω5 is 1.

4. The table tennis movement skill evaluation method for a wearable device according to claim 1, characterized in that: In step 2, the evaluation indicators of the five evaluation levels are constructed as follows: Each of the five evaluation levels includes three evaluation indicators. The three evaluation indicators in level 1 are the acceleration magnitudes in three directions, the three evaluation indicators in level 2 are the acceleration directions in three directions, the three evaluation indicators in level 3 are the speed magnitudes in three directions, the three evaluation indicators in level 4 are the speed directions in three directions, and the three evaluation indicators in level 5 are the Euler angles in three directions. The three evaluation indicators in each level have the same importance, and an evaluation system containing 15 evaluation indicators is constructed.

5. The table tennis movement skill evaluation method for a wearable device according to claim 1, characterized in that: In step 3, the process of establishing the table tennis movement skill evaluation model is as follows: S1, establish the evaluation function model of level 1: the acceleration magnitude is an extremely large indicator, the collected acceleration magnitude is normalized by the Logistic function, and the acceleration magnitude is one of the three evaluation indicators of level 1; specifically, the acceleration magnitude is mapped to the interval [0,1] to achieve normalization of the acceleration magnitude, and then the normalized acceleration magnitude is used as the evaluation score of the evaluation indicator; the evaluation function of level 1 is as follows: where i=1,2,3,a i is the magnitude of the three-axis acceleration, the three axes are X-axis, Y-axis and Z-axis, E a is the average level of acceleration, a up is the maximum value of acceleration, a down is the minimum value of acceleration, the natural constant e≈2.71828; S2, establish a level 2 evaluation function model: the acceleration direction is an interval-type indicator, an interval-type function is established for the collected acceleration direction to achieve normalization, and then the normalized acceleration direction is used as the evaluation score of the evaluation indicator; the level 2 evaluation function is as follows: Among them, h i Represents the force direction level evaluation function on the three axes, Among them, a_θ i represents the direction of the three-axis acceleration, k1 is the loss coefficient below the lower boundary, k2 is the loss coefficient above the upper boundary, a_θ down is the lower bound of the acceleration direction in the action skill, a_θ up It is the upper bound of the acceleration direction in the action skill; S3, establish a level 3 evaluation function model: speed is a very large indicator, and the speed is normalized by the Logistic function. The level 3 evaluation function is as follows: Among them, v1, v2, and v3 are the speeds of the X-axis, Y-axis, and Z-axis respectively, Ev is the average level of speed, and v up is the maximum value of velocity, v down is the minimum value of speed; S4, establish a level 4 evaluation function model: the speed direction is an interval indicator, an interval function is established for the collected speed direction and normalized, and the level 4 evaluation function is as follows: Among them, r i Represents the velocity direction level evaluation function on the three axes, Among them, v_θ i represents the triaxial velocity direction, k3 is the loss coefficient below the lower boundary, k4 is the loss coefficient above the upper boundary, v_θ down is the lower bound of the speed direction in the action skill, v_θ up It is the upper limit of the speed direction in the action skill; S5, establish the evaluation function model of level 5: the attitude angle direction should be an interval indicator, establish an interval function for the collected attitude data and realize normalization. The evaluation function of level 5 is as follows: Among them, g i represents the attitude angle level evaluation function on three axes, Among them, α i is the attitude angle value, k5 is the loss coefficient when the attitude angle is lower than the lower boundary, k6 is the loss coefficient when the attitude angle is higher than the upper boundary, α down is the lower bound of the posture angle in the action skill, α up It is the upper limit of the posture angle in action skills; S6, construct a table tennis movement skill evaluation function model Q, the calculation formula of Q is as follows: Q=ω1q1+ω2q2+ω3q3+ω4q4+ω5q5.

6. The table tennis movement skill evaluation method for a wearable device according to claim 3, characterized in that: The pairwise comparison matrix When , the relative weights among the five evaluation levels are ω1=0.0556, ω2=0.2055, ω3=0.0592, ω4=0.1715, ω5=0.5081; According to the importance of each level, the hierarchical analysis method is used to redefine the pairwise comparison matrix and the relative weight of each evaluation level.

7. An electronic device, characterized in that: include: one or more processors; Memory; One or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to execute the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program codes, and the program codes can be called by a processor to execute the method according to any one of claims 1 to 5.

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