CN116434907A - Motion quality evaluation system based on edge calculation - Google Patents
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Abstract
The invention discloses a motion quality evaluation system based on edge calculation, which belongs to the field of motion and is used for solving the problem that people cannot accurately evaluate motion quality in motion.
Description
Technical Field
The invention belongs to the field of motion, relates to a motion quality evaluation technology, and particularly relates to a motion quality evaluation system based on edge calculation.
Background
The traditional Chinese medicine has long history and deep bottom, and makes great contribution to the health of all human beings. Based on the study of the basic theory of traditional Chinese medicine, the applicant knows that the term of exercise is divided into two modules, namely 'transportation' and 'qi', wherein 'transportation' is transportation and transformation, mainly means that qi and blood of the whole body run in channels and collaterals through Taiji, standing, sitting, yoga and the like, and 'movement' is movement mainly means exercise activities such as running, swimming, gymnastics and the like.
With the development of new generation information technology, people are particularly concerned about the influence of sports quality on physical health. When the user moves, the user cannot know the motion quality of the user because the user cannot analyze the motion data and the motion state during the movement, and therefore, the user proposes a motion quality evaluation system based on edge calculation.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a motion quality evaluation system based on edge calculation.
The technical problems to be solved by the invention are as follows:
how to analyze and evaluate the self-movement quality based on the movement data and the physical state during movement.
The aim of the invention can be achieved by the following technical scheme:
the motion quality evaluation system based on edge calculation comprises a processor, wherein the processor is connected with a server, a display module and a data acquisition module, the server is connected with a user terminal, a motion analysis module, a quality evaluation module, a motion monitoring module, a storage module and a motion matching module, the user terminal is used for inputting training information by a sportsman and sending the training information to the server, and the server sends the training information to the motion matching module;
the storage module is used for storing exercise training plans of a plurality of groups of operators, the exercise matching module is used for matching corresponding exercise training plans and exercise body plans for the operators according to training information, and the exercise training plans and the exercise body plans obtained by matching are fed back to the server;
when the exercise is performed, the data acquisition module is used for acquiring real-time operation data and real-time heart rate data of an exercise person and transmitting the real-time operation data and the real-time heart rate data to the processor, the processor transmits the real-time operation data and the real-time heart rate data to the server, the server transmits the real-time exercise data to the exercise analysis module, and the server transmits the real-time heart rate data to the exercise monitoring module;
the motion analysis module is used for analyzing the motion condition of the motion personnel, analyzing and obtaining a motion effective value or a motion poor signal of the motion personnel, feeding back to the server, and sending the motion effective value of the motion personnel to the quality evaluation module by the server;
the motion monitoring module is used for monitoring physical conditions of the moving personnel during motion, the monitoring results in that the effective motion rate of the moving personnel is fed back to the server, and the server sends the motion effective rate of the moving personnel to the quality evaluation module;
the quality evaluation module is used for evaluating the movement weight of the movement personnel to obtain the movement grade of the movement personnel.
Further, the training information comprises training item names and corresponding training phases;
the exercise training plan comprises a planned exercise frequency, a planned exercise distance and a planned exercise duration;
the exercise body plan includes a planned heart rate increase rate interval and a planned heart rate decrease rate interval.
Further, the real-time motion data is the real-time motion times of the sportsman, the real-time motion distance and the real-time motion duration of each real-time motion;
the real-time heart rate data is the real-time heart rate number of each real-time exercise of the exercise personnel.
Further, the analysis process of the motion analysis module is specifically as follows:
acquiring the real-time movement times of the moving personnel, if the real-time movement times are greater than or equal to the planned movement times, entering the next step, and if the real-time movement times are less than the planned movement times, generating a movement suboptimal signal;
acquiring a real-time movement distance and a planned movement distance corresponding to a movement person during each real-time movement, comparing the real-time movement distance with the planned movement distance, marking the real-time movement distance which is larger than or equal to the planned movement distance as an effective real-time movement distance, counting the times of the effective real-time movement distance and marking the times as effective movement distance times;
and then, acquiring the real-time movement time length and the planned movement time length corresponding to the movement personnel in each real-time movement, comparing the real-time movement time length with the planned movement time length, marking the real-time movement time length which is greater than or equal to the planned movement time length as effective real-time movement time length, counting the times of the effective real-time movement time length and marking the times as effective movement time length times;
the effective number of the motion distance is compared with the real-time motion number to obtain the effective motion distance of the motion personnel, and the effective number of the motion duration is compared with the real-time motion number to obtain the effective motion duration of the motion personnel;
and calculating the motion effective value of the sportsman.
Further, the monitoring process of the motion monitoring module is specifically as follows:
acquiring real-time heart rate data of a sportsman during each real-time exercise;
then traversing and comparing the real-time heart rate of the sportsman in each real-time movement to obtain an initial value, a peak value and an end value J of the real-time heart rate of the sportsman in each real-time movement;
respectively acquiring time points corresponding to an initial value, a peak value and an end value of the real-time heart rate of the sportsman during each real-time exercise;
calculating the real-time heart rate increasing rate and the real-time heart rate decreasing rate of the sportsman during each real-time exercise;
if the real-time heart rate increase rate belongs to the planned heart rate increase rate interval and the real-time heart rate decrease rate belongs to the planned heart rate decrease rate interval, marking the real-time movement of the sportsman as effective movement, otherwise marking the real-time movement of the sportsman as ineffective movement;
counting the effective movement times of the sportsman and recording the effective movement times, and comparing the effective movement times with the real-time movement times to obtain the movement effective rate of the sportsman.
Further, the working process of the quality evaluation module is specifically as follows:
acquiring a motion effective value and motion effective rate of a motion person;
if the motion effective value is greater than or equal to the preset motion effective value and the motion effective rate is greater than or equal to the preset motion effective rate, the motion grade of the sportsman is an excellent motion grade;
if the motion effective value is smaller than the preset motion effective value or the motion effective rate is smaller than the preset motion effective rate, the motion grade of the motion personnel is a passing motion grade;
if the motion effective value is smaller than the preset motion effective value and the motion effective rate is smaller than the preset motion effective rate, the motion grade of the motion personnel is a failed motion grade.
Further, the excellent sports grade is higher than the grade of the passing sports grade, and the grade of the lattice sports grade is higher than the grade of the failing sports grade.
Further, if the server receives the poor movement signal, the poor movement signal is sent to the processor, and the processor sends the poor movement signal to the display module;
the quality evaluation module feeds the motion level of the sportsman back to the server, the server feeds the motion level of the sportsman back to the processor, the processor sends the motion level of the sportsman to the display module, and the display module is used for displaying the motion level and the poor motion signal of the sportsman.
The working method of the motion quality evaluation system based on edge calculation comprises the following steps:
step S1, a user terminal inputs training information, and a motion matching module matches a corresponding motion training plan and a corresponding motion body plan for a sporter according to the training information;
step S2, during exercise, the data acquisition module acquires real-time operation data and real-time heart rate data of an exercise person, the real-time exercise data is sent to the exercise analysis module, and the real-time heart rate data is sent to the exercise monitoring module;
s3, analyzing the movement condition of the movement personnel by the movement analysis module, analyzing to obtain a movement effective value of the movement personnel, and sending the movement effective value to the quality evaluation module or the generated movement suboptimal signal to the display module;
step S4, the physical condition of the sportsman during the movement is monitored by the movement monitoring module, and the effective movement rate of the sportsman is obtained through monitoring and is sent to the quality evaluation module;
and S5, the quality evaluation module evaluates the movement weight of the movement personnel, the movement grade of the movement personnel obtained through evaluation is sent to the display module, and the display module displays the movement grade and the movement poor signal of the movement personnel.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, training information is input through a user terminal, a motion matching module matches a corresponding motion training plan and a motion body plan for a motion person according to the training information, during actual motion, the motion situation of the motion person is analyzed through a motion analysis module, a motion effective value of the motion person is obtained through analysis and is sent to a quality assessment module or a generated motion poor signal is sent to a display module, then the motion situation of the motion person is monitored through a motion monitoring module, an effective motion rate of the motion person is obtained and is sent to the quality assessment module, finally, the motion weight of the motion person is assessed through the quality assessment module, and the motion grade of the motion person is assessed and is sent to a display module for display.
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The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In an embodiment, referring to fig. 1, an edge calculation-based motion quality evaluation system includes a processor, a server connected to the processor through different edge nodes, a display module and a data acquisition module, wherein the server is connected to a user terminal, a motion analysis module, a quality evaluation module, a motion monitoring module, a storage module and a motion matching module;
before implementation, a sporter inputs corresponding personnel information registration login system through a user terminal and sends personnel information to a server, wherein the personnel information comprises names, mobile phone numbers and the like of the sporter;
in this embodiment, the user terminal is configured to input training information by a sporter, and send the training information to a server, where the server sends the training information to a motion matching module;
the training information comprises training item names and corresponding training stages;
the motion matching module is connected with a storage module, the storage module is used for storing motion training plans of a plurality of groups of operators, and the motion matching module is used for matching corresponding motion training plans and motion body plans for the operators according to training information and feeding the matched motion training plans and motion body plans back to the server; the exercise training plan comprises a planned exercise frequency, a planned exercise distance and a planned exercise duration, and the exercise body plan comprises a planned heart rate increase rate interval and a planned heart rate decrease rate interval;
when the exercise is performed, the data acquisition module is used for acquiring real-time operation data and real-time heart rate data of an exercise person and transmitting the real-time operation data and the real-time heart rate data to the processor, the processor transmits the real-time operation data and the real-time heart rate data to the server through the edge node, the server transmits the real-time exercise data to the exercise analysis module, and the server transmits the real-time heart rate data to the exercise monitoring module;
the real-time movement data is the real-time movement times of the movement personnel, the real-time movement distance and the real-time movement duration during each real-time movement, and the real-time heart rate data is the real-time heart rate of the movement personnel during each real-time movement, wherein the data acquisition module can be acquisition equipment attached to the body of the movement personnel, and comprises, but is not limited to, a heart rate counter, a timer, a counter, a three-dimensional magnetometer and the like;
in this embodiment, the motion analysis module is configured to analyze a motion situation of a motion person, and an analysis process specifically includes:
step P1, acquiring the real-time movement times of the movement personnel, if the real-time movement times are greater than or equal to the planned movement times, entering the next step, and if the real-time movement times are less than the planned movement times, generating movement suboptimal signals;
step P2, acquiring a real-time movement distance and a planned movement distance corresponding to a movement person during each real-time movement, comparing the real-time movement distance with the planned movement distance, marking the real-time movement distance which is greater than or equal to the planned movement distance as an effective real-time movement distance, counting the times of the effective real-time movement distance and marking the times as the effective times of the movement distance;
step P3, acquiring real-time movement time length and planned movement time length corresponding to the movement personnel during each real-time movement, comparing the real-time movement time length with the planned movement time length, marking the real-time movement time length which is greater than or equal to the planned movement time length as effective real-time movement time length, counting the times of the effective real-time movement time length and marking the times as effective movement time length times;
step P4, the effective number of the motion distance is compared with the real-time motion number to obtain the effective rate JYu of the motion distance of the motion person, the effective number of the motion duration is compared with the real-time motion number to obtain the effective rate JTu of the motion duration of the motion person, u=1, 2, … …, z, z is a positive integer, and u represents the number of the motion person;
step P5, by the formula YZu =x1 JYu +X2 JTu Calculating to obtain a motion effective value YZu of the sportsman; wherein X1 and X2 are both positive integers of fixed values, for example, in actual design, X1 has a value of 2 and X2 has a value of 5, and the values of X1 and X2 are only examples and are convenient to understand;
the motion analysis module feeds back a motion effective value YZu of the motion personnel or a generated motion poor signal to the server, the server sends the motion effective value YZu of the motion personnel to the quality evaluation module, if the server receives the motion poor signal, the motion effective value YZu of the motion personnel or the generated motion poor signal is sent to the processor, and the processor sends the motion poor signal to the display module;
in this embodiment, the motion monitoring module is configured to monitor a physical condition of a person in motion, where a monitoring process specifically includes:
step Q1, acquiring real-time heart rate data of a sporter during each real-time exercise;
step Q2, then traversing and comparing the real-time heart rate of the sportsman in each real-time exercise to obtain an initial value CSXui, a peak value FZXui and an end value JSXui of the real-time heart rate of the sportsman in each real-time exercise, wherein i=1, 2, … …, x and x are positive integers, and i represents the number of the real-time exercise;
step Q3, respectively obtaining the time points corresponding to the initial value, the peak value and the end value of the real-time heart rate number of the sportsman in each real-time exercise and recording as T CSXui 、T FZXui And T JSXui ；
Step Q4, by the formula ZSXui= |FZXui-CSXui|/(T) FZXui -T CSXui ) The real-time heart rate increasing rate ZSXui of the sportsman during each real-time exercise is calculated, and the formula JSXui= |JSXui-FZXui|/(T) JSXui -T FZXui ) Calculating to obtain a real-time heart rate reduction rate JSXui of the sportsman during each real-time exercise;
step Q5, if the real-time heart rate increase rate belongs to the planned heart rate increase rate interval and the real-time heart rate decrease rate belongs to the planned heart rate decrease rate interval, marking the real-time motion of the sportsman as effective motion, otherwise marking the real-time motion of the sportsman as ineffective motion;
step Q6, counting the effective movement times of the sportsman and recording the effective movement times, and comparing the effective movement times with the real-time movement times to obtain the movement effective rate YLu of the sportsman;
the motion monitoring module feeds the effective motion rate YLu of the moving person back to a server, and the server sends the motion effective rate YLu of the moving person to the quality evaluation module;
the quality evaluation module is used for evaluating the movement weight of the sportsman, and the working process is as follows:
step SS1, obtaining the motion effective value YZu and the motion effective rate YLu of the motion personnel obtained by the calculation;
step SS2, if the motion effective value is greater than or equal to a preset motion effective value and the motion effective rate is greater than or equal to a preset motion effective rate, the motion grade of the motion personnel is an excellent motion grade;
step SS3, if the motion effective value is smaller than the preset motion effective value or the motion effective rate is smaller than the preset motion effective rate, the motion grade of the motion personnel is a qualified motion grade;
step SS4, if the motion effective value is smaller than the preset motion effective value and the motion effective rate is smaller than the preset motion effective rate, the motion grade of the motion personnel is a failed motion grade;
it is understood that the level of the excellent sports grade is higher than the level of the passing sports grade, and the level of the lattice sports grade is higher than the level of the failing sports grade;
the quality evaluation module feeds the motion level of the sportsman back to the server, the server feeds the motion level of the sportsman back to the processor, the processor sends the motion level of the sportsman to the display module, and the display module is used for displaying the motion level and the poor motion signal of the sportsman;
in the specific implementation, the display module is in wireless connection with the processor in a Bluetooth mode and the like, and the display module can be specifically a display screen at the examination place;
the above formulas are all the dimensionality removal and numerical calculation, the magnitude of the weight coefficient and the proportional coefficient is a specific numerical value obtained by quantizing each parameter, and the numerical values of the weight coefficient and the proportional coefficient are only exemplified by letters and corresponding numerical values in the embodiment as long as the proportional relation between the parameter and the quantized numerical value is not influenced.
In another embodiment, based on another concept of the same invention, a working method of a motion quality evaluation system based on edge calculation is provided, and the working method specifically comprises the following steps:
step S1, a sporter inputs training information through a user terminal and sends the training information to a server, the server sends the training information to a motion matching module, a storage module stores a plurality of groups of exercise training plans of the sporter, the motion matching module matches corresponding exercise training plans and exercise body plans for the sporter according to the training information, and the exercise training plans and the exercise body plans obtained by matching are fed back to the server;
step S2, when the sports is performed, the data acquisition module acquires real-time operation data and real-time heart rate data of a sports person, and sends the real-time operation data and the real-time heart rate data to the processor, the processor sends the real-time operation data and the real-time heart rate data to the server through the edge node, the server sends the real-time motion data to the motion analysis module, and the server sends the real-time heart rate data to the motion monitoring module;
step S3, analyzing the movement condition of the movement personnel through a movement analysis module, obtaining the real-time movement times of the movement personnel, if the real-time movement times are smaller than the planned movement times, generating movement suboptimal signals, if the real-time movement times are larger than or equal to the planned movement times, obtaining the real-time movement distance of each real-time movement and the planned movement distance corresponding to the movement personnel, comparing the real-time movement distance with the planned movement distance, marking the real-time movement distance larger than or equal to the planned movement distance as effective real-time movement distance, counting the times of the effective real-time movement distance and marking the effective times of the movement distance, and then obtaining the real-time movement duration of each real-time movement and the planned movement duration corresponding to the movement personnel, comparing the real-time movement duration with the planned movement duration, counting the number of times of the effective real-time movement duration and recording the number of times of the effective real-time movement duration as effective real-time movement duration, comparing the effective number of times of the movement distance to obtain the effective movement distance of the moving person, comparing the effective number of times of the movement duration to obtain the effective movement duration of the moving person, calculating to obtain the effective movement value of the moving person, feeding back the effective movement value of the moving person or the generated poor movement signal to a server by a movement analysis module, sending the effective movement value of the moving person to a quality evaluation module, and sending the poor movement signal to a processor if the server receives the poor movement signal, and sending the poor movement signal to a display module by the processor;
step S4, monitoring physical conditions of the sportsman during movement through a movement monitoring module, acquiring real-time heart rate data of the sportsman during each real-time movement, then traversing and comparing the real-time heart rate data of the sportsman during each real-time movement to obtain initial values, peak values and end values of the real-time heart rate data of the sportsman during each real-time movement, respectively acquiring time points corresponding to the initial values, the peak values and the end values of the real-time heart rate data of the sportsman during each real-time movement, calculating a real-time heart rate increase rate and a real-time heart rate decrease rate of the sportsman during each real-time movement, if the real-time heart rate increase rate belongs to a planned heart rate increase rate interval, marking the real-time movement of the sportsman as effective movement, otherwise marking the real-time movement of the sportsman as ineffective movement, counting the effective movement times of the sportsman and marking the effective movement times, comparing the real-time movement times to obtain effective movement efficiency of the sportsman, and the effective movement rate of the sportsman, feeding the effective movement rate of the sportsman back to a server through the movement monitoring module, and the effective movement efficiency of the sportsman to a quality evaluation module;
and S5, evaluating the motion weight of the sportsman through a quality evaluation module to obtain a motion effective value and motion effective rate of the sportsman, if the motion effective value is greater than or equal to a preset motion effective value and the motion effective rate is greater than or equal to the preset motion effective rate, the motion grade of the sportsman is an excellent motion grade, if the motion effective value is smaller than the preset motion effective value or the motion effective rate is smaller than the preset motion effective rate, the motion grade of the sportsman is a qualified motion grade, if the motion effective value is smaller than the preset motion effective value and the motion effective rate is smaller than the preset motion effective rate, the motion grade of the sportsman is a failed motion grade, the quality evaluation module feeds back the motion grade of the sportsman to a server, the server feeds back the motion grade of the sportsman to a processor, and the processor sends the motion grade of the sportsman to a display module to display the motion grade and a motion bad signal of the sportsman.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (8)
1. The motion quality evaluation system based on edge calculation is characterized by comprising a processor, wherein the processor is connected with a server, a display module and a data acquisition module, the server is connected with a user terminal, a motion analysis module, a quality evaluation module, a motion monitoring module, a storage module and a motion matching module, the user terminal is used for inputting training information by a sportsman and transmitting the training information to the server, and the server transmits the training information to the motion matching module;
the storage module is used for storing exercise training plans of a plurality of groups of operators, the exercise matching module is used for matching corresponding exercise training plans and exercise body plans for the operators according to training information, and the exercise training plans and the exercise body plans obtained by matching are fed back to the server;
when the exercise is performed, the data acquisition module is used for acquiring real-time operation data and real-time heart rate data of an exercise person and transmitting the real-time operation data and the real-time heart rate data to the processor, the processor transmits the real-time operation data and the real-time heart rate data to the server, the server transmits the real-time exercise data to the exercise analysis module, and the server transmits the real-time heart rate data to the exercise monitoring module;
the motion analysis module is used for analyzing the motion condition of the motion personnel, analyzing and obtaining a motion effective value or a motion poor signal of the motion personnel, feeding back to the server, and sending the motion effective value of the motion personnel to the quality evaluation module by the server;
the motion monitoring module is used for monitoring physical conditions of the moving personnel during motion, the monitoring results in that the effective motion rate of the moving personnel is fed back to the server, and the server sends the motion effective rate of the moving personnel to the quality evaluation module;
the quality evaluation module is used for evaluating the movement weight of the movement personnel to obtain the movement grade of the movement personnel.
2. The edge-calculation-based motion quality assessment system according to claim 1, wherein the training information comprises training item names and corresponding training phases;
the exercise training plan comprises a planned exercise frequency, a planned exercise distance and a planned exercise duration;
the exercise body plan includes a planned heart rate increase rate interval and a planned heart rate decrease rate interval.
3. The motion quality evaluation system based on edge calculation according to claim 1, wherein the real-time motion data is the number of real-time motions of a person in motion and the real-time motion distance and the real-time motion duration of each real-time motion;
the real-time heart rate data is the real-time heart rate number of each real-time exercise of the exercise personnel.
4. A motion quality evaluation system based on edge calculation according to claim 3, wherein the analysis process of the motion analysis module is specifically as follows:
acquiring the real-time movement times of the moving personnel, if the real-time movement times are greater than or equal to the planned movement times, entering the next step, and if the real-time movement times are less than the planned movement times, generating a movement suboptimal signal;
acquiring a real-time movement distance and a planned movement distance corresponding to a movement person during each real-time movement, comparing the real-time movement distance with the planned movement distance, marking the real-time movement distance which is larger than or equal to the planned movement distance as an effective real-time movement distance, counting the times of the effective real-time movement distance and marking the times as effective movement distance times;
and then, acquiring the real-time movement time length and the planned movement time length corresponding to the movement personnel in each real-time movement, comparing the real-time movement time length with the planned movement time length, marking the real-time movement time length which is greater than or equal to the planned movement time length as effective real-time movement time length, counting the times of the effective real-time movement time length and marking the times as effective movement time length times;
the effective number of the motion distance is compared with the real-time motion number to obtain the effective motion distance of the motion personnel, and the effective number of the motion duration is compared with the real-time motion number to obtain the effective motion duration of the motion personnel;
and calculating the motion effective value of the sportsman.
5. The motion quality evaluation system based on edge calculation according to claim 4, wherein the monitoring process of the motion monitoring module is specifically as follows:
acquiring real-time heart rate data of a sportsman during each real-time exercise;
then traversing and comparing the real-time heart rate of the sportsman in each real-time movement to obtain an initial value, a peak value and an end value J of the real-time heart rate of the sportsman in each real-time movement;
respectively acquiring time points corresponding to an initial value, a peak value and an end value of the real-time heart rate of the sportsman during each real-time exercise;
calculating the real-time heart rate increasing rate and the real-time heart rate decreasing rate of the sportsman during each real-time exercise;
if the real-time heart rate increase rate belongs to the planned heart rate increase rate interval and the real-time heart rate decrease rate belongs to the planned heart rate decrease rate interval, marking the real-time movement of the sportsman as effective movement, otherwise marking the real-time movement of the sportsman as ineffective movement;
counting the effective movement times of the sportsman and recording the effective movement times, and comparing the effective movement times with the real-time movement times to obtain the movement effective rate of the sportsman.
6. The motion quality evaluation system based on edge calculation according to claim 5, wherein the working process of the quality evaluation module is specifically as follows:
acquiring a motion effective value and motion effective rate of a motion person;
if the motion effective value is greater than or equal to the preset motion effective value and the motion effective rate is greater than or equal to the preset motion effective rate, the motion grade of the sportsman is an excellent motion grade;
if the motion effective value is smaller than the preset motion effective value or the motion effective rate is smaller than the preset motion effective rate, the motion grade of the motion personnel is a passing motion grade;
if the motion effective value is smaller than the preset motion effective value and the motion effective rate is smaller than the preset motion effective rate, the motion grade of the motion personnel is a failed motion grade.
7. The edge-based motion quality assessment system according to claim 6, wherein the level of excellent motion level is higher than the level of passing motion level, and the level of lattice motion level is higher than the level of failing motion level.
8. The system of claim 1, wherein the server sends the motion poor signal to the processor if it receives the motion poor signal, and the processor sends the motion poor signal to the display module;
the quality evaluation module feeds the motion level of the sportsman back to the server, the server feeds the motion level of the sportsman back to the processor, the processor sends the motion level of the sportsman to the display module, and the display module is used for displaying the motion level and the poor motion signal of the sportsman.
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