CN113762214A - AI artificial intelligence based whole body movement assessment system - Google Patents
AI artificial intelligence based whole body movement assessment system Download PDFInfo
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- 238000011156 evaluation Methods 0.000 claims abstract description 10
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- 210000000689 upper leg Anatomy 0.000 claims description 6
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- 244000309466 calf Species 0.000 claims description 5
- 210000001513 elbow Anatomy 0.000 claims description 4
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- A—HUMAN NECESSITIES
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Abstract
The invention discloses a whole body movement evaluation system based on AI artificial intelligence, which comprises an athlete capture module, AI artificial intelligence and a monitoring platform, wherein the athlete capture module is attached to the body force application position and the rotating part of an athlete, records the vibration of muscle groups, the muscle expansion generated by the muscle force application and the data of the muscle force application movement, records the movement track of the continuous behaviors of the athlete through the capture system, records the movement performance of the athlete and uploads the movement performance to the monitoring platform, a database is established in the monitoring platform, the body data of the athlete is recorded and analyzed through the AI artificial intelligence to evaluate the whole body movement, the AI artificial intelligence is used for evaluating the muscle state of the athlete by reversely deducing the whole body movement database of the athlete and the existing whole body movement data of the athlete, the invention is favorable for specifically displaying the training muscle groups of the whole body movement and evaluating the training amount, meanwhile, the muscle state of the athlete can be effectively evaluated.
Description
Technical Field
The invention relates to the technical field of AI (artificial intelligence), in particular to a whole body movement evaluation system based on AI artificial intelligence.
Background
Currently, artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence, and research in this area includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others. Since the birth of artificial intelligence, theories and technologies are mature day by day, and application fields are expanded continuously. With the continuous progress of the country, the people advocate to improve the physical health of the people in a comprehensive way, the research on the human body movement is relatively deficient, and the whole body movement can effectively exercise the body.
However, the incorrect posture during the exercise of the whole body exercise is rather likely to cause a burden on the human body, and therefore, the whole body exercise needs to be evaluated.
Therefore, how to specifically display the exercise muscle group of the whole body exercise and evaluate the exercise amount, and effectively evaluate the muscle state of the athlete at the same time is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the present invention provides a whole body movement evaluation system based on AI artificial intelligence; the system comprises a capturing system, a monitoring platform, a database, an AI artificial intelligence, a body data analysis system, a body motion database and an AI artificial intelligence system.
In order to achieve the purpose, the invention adopts the following technical scheme:
an AI artificial intelligence based whole body motion assessment system comprising: the system comprises an athlete capturing module, an AI artificial intelligence and a monitoring platform;
the athlete catching module is attached to the body force applying position and the rotating position of an athlete, records the vibration of a muscle group, the muscle expansion generated by the muscle force applying and the data of the muscle force applying movement, records the movement track of continuous behaviors of the athlete through a catching system, records the sports score of the athlete and uploads the record to the monitoring platform, a database is established in the monitoring platform, the AI artificial intelligence carries out record analysis on the body data of the athlete to evaluate the whole body movement, and the AI artificial intelligence carries out evaluation on the muscle state of the athlete by reversely pushing the whole body movement database of the athlete and the existing whole body movement data of the athlete.
Preferably, a plurality of high-speed cameras are arranged in a surrounding manner in a space where an athlete is located, the body force position and the rotating position of the athlete are attached to the light sensation receiving sensor, the athlete performs sports, the actions of the athlete are stored in an image sequence mode through the high-speed cameras, data are formed by the vibration of muscles, the expansion of the muscles and the capture of the motion actions of the athlete, a coordinate system is established for the space, the high-speed cameras in the space are used as reference objects, the position where the athlete is located is used as an origin, the moving track of the athlete is recorded, and time data are recorded according to the moving track.
Preferably, the light sensation receiving sensor is attached to the body force position and the rotating position of the athlete, wherein the body force position is the positions of thighs, calves, arms, lower arms, chests, backs and waists, and the rotating position is the positions of wrists, elbows, knees, waists and spines.
Preferably, the vibration of the muscles and the expansion of the muscles wrap the muscle groups of the athletes, the vibration sensor and the pressure sensor are installed on the inner wall of the elastic cloth, the light sensing receiving sensor is installed on the outer wall of the elastic cloth, and data recording is carried out on the vibration of the muscle groups, the muscle expansion generated by the muscle force and the movement of the muscle force.
Preferably, the initial position of the athlete is taken as an initial point, the athlete starts to time when the athlete performs the exercise, the single time point corresponds to the single action completion record, and the vibration of the muscle group, the muscle expansion generated by the muscle force and the movement of the muscle force in the single action of the athlete correspond to each other.
Preferably, the database is a plurality of groups of athlete movement tracks, a single athlete movement track and a variation graph of the vibration of the muscle group, the muscle expansion generated by the muscle force and the muscle force generated by the muscle force corresponding to the single athlete movement track are recorded in the database correspondingly.
Preferably, the AI artificial intelligence reads data in the database to form a data simulation, and analyzes a variation graph of the vibration of the muscle group, the muscle expansion caused by the muscle exertion and the muscle exertion of the athlete according to the actual exercise result of the athlete.
Preferably, the AI artificial intelligence evaluates the whole body exercise performed by the athlete according to the analysis results of the vibration of the muscle group of the athlete, the muscle expansion caused by the muscle force, and the change pattern of the muscle force, records and evaluates the muscle group exercised by the whole body exercise, records and evaluates the activity amount of the muscle group, and reversely deduces the muscle state of the whole body exercise of the athlete according to the vibration of the muscle group, the muscle expansion caused by the muscle force, and the change pattern of the muscle force recorded by the repeated whole body exercise of the same group.
According to the technical scheme, compared with the prior art, the invention discloses a whole body movement evaluation system based on AI artificial intelligence; the system comprises a capturing system, a monitoring platform, a database, an AI artificial intelligence, a body data analysis system, a body motion database and an AI artificial intelligence system.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic diagram of a system structure provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a whole body movement evaluation system based on AI artificial intelligence, comprising: the system comprises an athlete capturing module, an AI artificial intelligence and a monitoring platform;
the athlete capturing module is attached to the body force applying position and the rotating position of an athlete, the vibration of muscle groups, the muscle expansion generated by the muscle force applying and the data recording of the muscle force applying movement are carried out, meanwhile, the movement track of continuous behaviors of the athlete is recorded through the capturing system, the movement score of the athlete is recorded and uploaded to the monitoring platform, a database is established in the monitoring platform, the body data of the athlete is recorded and analyzed through AI artificial intelligence to evaluate the whole body movement, and the muscle state of the athlete is evaluated by reversely pushing the existing whole body movement data of the athlete and the whole body movement database of the athlete through AI artificial intelligence.
In order to further optimize the technical scheme, a plurality of high-speed cameras are arranged in a surrounding mode in a space where an athlete is located, the body force applying position and the rotating position of the athlete are attached to a light sensing receiving sensor, the athlete carries out sports, the actions of the athlete are stored in an image sequence mode through the high-speed cameras, data are formed by the vibration, muscle expansion and motion capture of the muscles of the athlete, a coordinate system is established for the space, the high-speed cameras in the space are used as reference objects, the position of the athlete is used as an origin, the moving track of the athlete is recorded, and time data are recorded according to the moving track.
In order to further optimize the technical scheme, the light sensation receiving sensor is attached to the body force exerting position and the rotating position of the athlete, the body force exerting position is the positions of thighs, shanks, arms, small arms, chests, backs and waists, and the rotating position is the positions of wrists, elbows, knees, waists and spines.
In order to further optimize the technical scheme, the vibration of muscles and the expansion of the muscles wrap the muscle groups of the athletes, the vibration sensor and the pressure sensor are installed on the inner wall of the elastic cloth, the light sensing receiving sensor is installed on the outer wall of the elastic cloth, and data recording is carried out on the vibration of the muscle groups, the expansion of the muscles generated by the muscle force and the movement of the muscle force.
In order to further optimize the technical scheme, the initial position of the athlete is taken as an initial point, the athlete starts to time when the athlete moves, the single time point corresponds to the single action completion record, and the vibration of muscle groups, the muscle expansion generated by the muscle force and the movement of the muscle force in the single action of the athlete correspond to each other.
In order to further optimize the technical scheme, a plurality of groups of athlete movement tracks are stored in the database, a single athlete movement track and a variation graph of muscle expansion and muscle force generated by the vibration and the muscle force of a muscle group corresponding to the single athlete movement track are recorded, and the movement results of the athlete are correspondingly recorded.
In order to further optimize the technical scheme, AI artificial intelligence reads data in a database to form data simulation, and analyzes the vibration of the muscle groups of the athletes, the muscle expansion generated by the muscle force and the change diagram of the muscle force according to the actual exercise result of the athletes.
In order to further optimize the technical scheme, the AI carries out evaluation on the whole body movement of the athlete according to the analysis results of the graphs of the muscle expansion and the change of the muscle force generated by the vibration of the muscle group of the athlete and the muscle force, carries out recording evaluation on the muscle group exercised by the whole body movement, carries out recording evaluation on the activity of the muscle group, and carries out reverse thrust on the muscle state of the whole body movement of the athlete according to the graphs of the muscle expansion and the change of the muscle force generated by the muscle force recorded by the repeated whole body movement of the same group.
Detailed description of the preferred embodiment 1
Arranging 11 high-speed cameras in a surrounding manner in a space where an athlete is positioned, attaching luminous points to body force positions and rotating positions of the athlete, wherein the body force positions comprise thigh positions, calf positions, arm positions, forearm positions, chest positions, back positions and waist positions, wherein the rotating positions comprise wrist positions, elbow positions, knee positions, waist positions and spine positions, the athlete performs sports, storing the movements of the athlete in an image sequence manner through the high-speed cameras, capturing data of the vibration, muscle expansion and movement of the muscle of the athlete, establishing a coordinate system for the space, recording the movement track of the athlete by taking the high-speed cameras in the space as an origin, recording time data according to the movement track, taking the initial position of the athlete as an initial point, timing the start of the athlete in sports, and recording the completion of a single action corresponding to a single time point, the vibration of the muscle group, the muscle expansion generated by the muscle force and the movement of the muscle force in a single action of the athlete are corresponding to each other, the data are uploaded to a monitoring platform to form a database, the whole body movement of the athlete is evaluated through the analysis results of the vibration of the muscle group, the muscle expansion generated by the muscle force and the change diagram of the muscle force by AI artificial intelligence, the muscle group exercised by the whole body movement is recorded and evaluated, and the activity of the muscle group is recorded and evaluated.
Specific example 2
12 high-speed cameras are arranged in a surrounding manner in a space where an athlete is located, luminous points are attached to the body force position and the rotating position of the athlete, wherein the body force position comprises thigh, calf, arm, forearm, chest, back and waist positions, the rotating position comprises wrist, elbow, knee, waist and spine positions, the athlete carries out sports, the action of the athlete is stored in an image sequence manner through the high-speed cameras, data is formed by capturing vibration, muscle expansion and movement of the muscle of the athlete, a coordinate system is established for the space, the high-speed cameras in the space are used as reference objects, the movement track of the athlete is recorded by taking the position of the athlete as an origin, time data is recorded according to the movement track, the initial position of the athlete is used as an initial point, the athlete starts to time, and the single time point corresponds to a single action completion record, the vibration of the muscle group, the muscle expansion generated by the muscle force and the movement of the muscle force in a single action of the athlete are correspondingly formed, the data are uploaded to a monitoring platform to form a database, and through data group analysis of analysis results of the vibration of the muscle group, the muscle expansion generated by the muscle force and the change diagram of the muscle force of the athlete, AI artificial intelligence is used for forming reverse thrust data on the muscle state of the whole body exercise of the athlete by combining the exercise results and the vibration of the muscle group, the muscle expansion generated by the muscle force and the change diagram of the muscle force recorded by repeated whole body exercise of the same group, so that the strength of the muscle group of the athlete can be evaluated.
When the system for evaluating the whole body movement based on the AI artificial intelligence is used, it should be noted that the system for evaluating the whole body movement based on the AI artificial intelligence comprises components which are all universal standard components or components known by those skilled in the art, and the structure and the principle of the system can be known by technical manuals or conventional experimental methods.
When the sport device is used, 11 high-speed cameras are arranged in a surrounding manner in a space where a sportsman is located, luminous points are attached to body force positions and rotating positions of the sportsman, wherein the body force positions comprise thigh positions, calf positions, arm positions, forearm positions, chest positions, back positions and waist positions, wherein the rotating positions comprise wrist positions, elbow positions, knee positions, waist positions and spine positions, the sportsman performs sports, the movements of the sportsman are stored in an image sequence mode through the high-speed cameras, data are formed by vibration, muscle expansion and movement capture of muscles of the sportsman, a coordinate system is established for the space, the position where the sportsman is located serves as an origin to record the movement track of the sportsman, time data are recorded according to the movement track, the initial position where the sportsman is located serves as an initial point, the sportsman starts to move, and a single time point corresponds to a single movement completion record, the vibration of muscle groups, the muscle expansion generated by the muscle force and the movement of the muscle force in a single action of an athlete are corresponding to each other, the data are uploaded to a monitoring platform to form a database, the whole body exercise of the athlete is evaluated through the analysis results of the vibration of the muscle groups, the muscle expansion generated by the muscle force and the change diagram of the muscle force by AI artificial intelligence, the whole body exercise exercised by the athlete is recorded and evaluated, the activity of the muscle groups is recorded and evaluated, the AI artificial intelligence analyzes the data group of the analysis results of the vibration of the muscle groups, the muscle expansion generated by the muscle force and the change diagram of the muscle force by the athlete through the vibration of the muscle groups, the change diagram of the muscle expansion generated by the muscle force and the change diagram of the muscle force by the AI artificial intelligence, and the muscle state of the whole body exercise of the athlete is combined with the exercise results to form reverse thrust data, an assessment of the athlete's own muscle group strength can be made.
Compared with the prior art, the invention has the following beneficial effects:
the invention captures the body force position and the rotating part through the athlete capturing module and AI artificial intelligence setting to form action capturing, simultaneously forms muscle capturing through the vibration of the muscle group of the athlete and the muscle expansion and the muscle force generated by the muscle force, evaluates the motion state and the muscle state of the whole body motion through the muscle graph of the single action corresponding to the vibration of the single muscle group, the muscle expansion and the muscle force generated by the muscle force, can evaluate the motion effect of the whole body motion, evaluates the motion muscle state of the athlete through reference and comparison of data in a database, is beneficial to specifically displaying the exercise muscle group of the whole body motion and evaluating the exercise amount, and can effectively evaluate the muscle state of the athlete.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the present invention; in the description of the present invention, it should be noted that unless otherwise explicitly stated or limited, the terms "mounted," "connected," and "disposed" are to be construed broadly and can, for example, be fixedly connected, disposed, detachably connected, disposed, or integrally connected and disposed. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. An AI artificial intelligence-based whole body movement assessment system, comprising: the system comprises an athlete capturing module, an AI artificial intelligence and a monitoring platform;
the athlete catching module is attached to the body force applying position and the rotating position of an athlete, records the vibration of a muscle group, the muscle expansion generated by the muscle force applying and the data of the muscle force applying movement, records the movement track of continuous behaviors of the athlete through a catching system, records the sports score of the athlete and uploads the record to the monitoring platform, a database is established in the monitoring platform, the AI artificial intelligence carries out record analysis on the body data of the athlete to evaluate the whole body movement, and the AI artificial intelligence carries out evaluation on the muscle state of the athlete by reversely pushing the whole body movement database of the athlete and the existing whole body movement data of the athlete.
2. The AI artificial intelligence based whole body movement assessment system according to claim 1, wherein a plurality of high speed cameras are placed around the athlete's location, the optical sensor receiving sensors are attached to the athlete's body force position and rotation position, the athlete performs sports, the athlete's movements are stored in image sequence by the high speed cameras, data are formed by the vibration of the athlete's muscles, the muscle expansion and the movement capturing, a coordinate system is established for the space, the high speed cameras in the space are used as reference, the location of the athlete is used as origin, the athlete's movement track is recorded, and time data are recorded according to the movement track.
3. The AI artificial intelligence-based whole body movement assessment system according to claim 2, wherein the light sensation reception sensors are attached to the athlete's body force position and rotation positions, the body force position is the thigh, calf, arm, forearm, chest, back and waist position, and the rotation positions are the wrist, elbow, knee, waist and spine positions.
4. The AI artificial intelligence based whole body movement assessment system according to claim 3, wherein the vibration of the muscles and the expansion of the muscles are wrapped by the elastic cloth to the muscle groups of the athlete, and the vibration sensor and the pressure sensor are installed on the inner wall of the elastic cloth, the light sensor is installed on the outer wall of the elastic cloth, and the vibration of the muscle groups, the expansion of the muscles and the movement of the muscles are recorded.
5. The AI artificial intelligence based whole body movement assessment system according to claim 4, wherein the athlete's start of movement is timed with the athlete's initial position as the initial point, the single time point corresponds to the single movement completion record, and the vibration of the muscle group, the muscle expansion caused by the muscle force and the movement of the muscle force in the single movement of the athlete correspond.
6. The AI artificial intelligence based whole body movement assessment system according to claim 4, wherein said database contains a plurality of sets of athlete's movement tracks, a single athlete's movement track and the corresponding variation patterns of the vibration of the muscle group, the muscle expansion and the muscle force generated by the muscle force, and records the sports results of the athlete correspondingly.
7. The AI artificial intelligence based whole body movement assessment system according to claim 6, wherein said AI artificial intelligence reads the data in the database to form a data simulation and analyzes the graphs of the athlete's muscle group vibration, muscle distension and muscle strength changes based on the athlete's actual exercise results.
8. The system of claim 7, wherein the AI intelligence evaluates the whole body exercise performed by the athlete based on the analysis results of the graphs of the variation of the vibration of the muscle groups, the muscular distension due to the muscle exertion, and the muscular exertion of the muscle of the athlete, records the muscle groups exercised by the whole body exercise, records the activity of the muscle groups, and reversely deduces the muscle status of the whole body exercise of the athlete based on the graphs of the variation of the vibration of the muscle groups, the muscular distension due to the exertion, and the muscular exertion recorded by the repeated whole body exercise of the same group.
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