CN113744300A - AI discerns sports trajectory data analysis system - Google Patents

Abstract

The invention discloses an AI (artificial intelligence) recognition sports track data analysis system, which comprises an athlete capture module, an instrument capture module and a monitoring terminal, wherein the monitoring terminal comprises an AI unit and a database; the AI unit refers to the data set in the database to form a motion trail image, performs data reference on the motion trail image and the sports data result, calculates the sports data result by analyzing the data of the sports trail of the athlete, and reversely deduces the sports trail of the athlete according to the sports data result. The invention achieves accurate sport score prediction through the sport track database and AI identification, and provides the optimal sport track, the athlete force exerting mode and the instrument sport track through a backstepping mode, thereby being beneficial to obtaining better sport score, improving the cognition of human body movement and avoiding wrong sport modes.

Description

AI discerns sports trajectory data analysis system

Technical Field

The invention relates to the technical field of sports, in particular to an AI recognition sports track data analysis system.

Background

At present, sports are various activities developed gradually in the development process of human beings to consciously foster self physical quality. Various physical activities of walking, running, jumping, casting, and dancing, which are commonly referred to as physical exercise processes, are performed.

However, with the continuous progress of science and technology, people continuously break through their own limits to create a world record, which is more and more difficult to break over time, athletes themselves are difficult to break through their own limits, or it is difficult to keep the peak state,

therefore, it is an urgent need to solve the problems of the art to provide an AI recognition sports track data analysis system capable of obtaining an optimal sports track, an athlete force-applying manner and an instrument motion track.

Disclosure of Invention

The invention aims to provide an AI recognition sports track data analysis system, which solves the problems in the background technology, can accurately predict sports scores through a sports track database and AI recognition, and provides an optimal sports track, an athlete force exerting mode and an instrument sports track in a reverse mode, so that better sports scores are obtained, the cognition of human body movement is improved, and an error sports mode is avoided.

In order to achieve the purpose, the invention provides the following technical scheme: an AI recognition sports track data analysis system comprises an athlete capture module, an instrument capture module and a monitoring terminal, wherein the monitoring terminal comprises an AI unit and a database, and the athlete capture module and the instrument capture module are used for collecting sports track data and uploading the collected sports track data to the monitoring terminal to form the database; and the AI unit refers to the data group in the database to form a motion trail image, performs data reference on the motion trail image and the sports data result, calculates the sports data result by analyzing the data of the sports trail of the athlete, and reversely deduces the sports trail of the athlete according to the sports data result.

As a preferred embodiment of the present invention, the athlete capturing module capturing data includes: muscle capture, motion capture, movement trajectory, and time data.

As a preferred embodiment of the present invention, the athlete capturing module employs optical capturing, stores the motion of the athlete in an image sequence manner by using the camera device according to the camera device arranged around the athlete in space and the luminous point attached to the athlete force position when the athlete performs sports, forms data for the muscle capturing and the motion capturing of the athlete, establishes a coordinate system for the space, records the moving track by using the camera device in the space as a reference and the position of the athlete as an origin, and records the time data according to the moving track.

As a preferred embodiment of the present invention, the capturing data by the instrument capturing module includes: velocity data, movement trajectory and time data.

As a preferred embodiment of the present invention, the instrument capturing module employs optical capturing, stores the motion of the sports instrument in a form of image sequence by using the camera device when the sports instrument moves according to the camera device arranged around the space and the light emitting point attached to the outer wall of the sports instrument, establishes a coordinate system for the space, captures the moving track of the motion of the sports instrument with the camera device in the space as a reference object and the initial point of the sports instrument as an origin to form the time data, records the time data, and calculates the speed data of the sports instrument according to the time data and the drop point data of the sports instrument.

As a preferred embodiment of the present invention, the monitoring terminal further includes: displaying the movement track of the images of the athletes, displaying the movement track of the images of the sports equipment and displaying data.

As a preferred embodiment of the present invention, the athlete image motion trail display is configured to instantiate the athlete motion image sequence captured by the athlete capturing module and form a continuous motion picture for display, the sports instrument image motion trail display is configured to instantiate the sports instrument motion trail image sequence captured by the instrument capturing module and form a continuous motion picture for display, and the data display is configured to display data captured by the athlete capturing module and the instrument capturing module and store the captured data in the database.

The AI unit is used for corresponding the image sequence groups of the same group of player movements and the image sequence groups of the same group of sports equipment moving tracks in the database and continuously analyzing and calculating sports results according to the player movement and the sports equipment initial positions.

Compared with the prior art, the invention has the following beneficial effects:

the invention captures the movement tracks of athletes and the movement tracks of sports equipment through optical capture, records the movement tracks of a plurality of groups of athletes and the movement tracks of the sports equipment, establishes a movement track database, can accurately predict sports scores through the AI unit, and provides the optimal sports movement track, the athlete strength exerting mode and the equipment movement track through a reverse thrust mode, thereby being beneficial to obtaining better sports scores, improving the cognition of human body movement and avoiding wrong movement modes.

Drawings

Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:

fig. 1 is a schematic diagram of an AI recognition sports trajectory data analysis system according to the present invention.

Detailed Description

In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.

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.

Referring to fig. 1, the present invention provides a technical solution: the utility model provides an AI discernment sports motion trail data analysis system, including sportsman's capture module, apparatus capture module and monitor terminal, wherein, monitor terminal includes AI unit and database, sportsman's capture module and apparatus capture module are used for gathering the motion trail data, and upload the motion trail data of gathering to monitor terminal formation database, the AI unit forms the motion trail image according to the data set in the database, carry out the data reference to motion trail image and sports data result, calculate sports data result through the data analysis to the sportsman's motion trail, and according to sports data result reverse thrust sportsman's motion trail. The invention achieves accurate sport score prediction through the motion track database and AI identification, and provides the optimal sport track, the athlete force exerting mode and the instrument motion track in a reverse mode, thereby being beneficial to obtaining better sport score, improving the cognition of human motion and avoiding wrong motion modes.

In this embodiment (see fig. 1), the data captured by the athlete capture module includes: muscle capture, motion capture, movement trajectory, and time data.

In the embodiment, the athlete capturing module adopts optical capturing, 5-10 high-speed cameras and luminous points attached to force positions of athletes are arranged in the space in a surrounding mode, when the athletes perform sports, the actions of the athletes are stored in an image sequence mode through the high-speed cameras, data are formed by muscle capturing and action capturing of the athletes, a coordinate system is established for the space, the high-speed cameras in the space are used as reference objects, the positions of the athletes are used as original points to record moving tracks, and time data are recorded according to the moving tracks.

In this embodiment (see fig. 1), the capturing of data by the instrument capture module includes: velocity data, movement trajectory and time data.

In this embodiment, the instrument capture module adopts optical capture, 5 to 10 high-speed cameras are arranged in the space in a surrounding manner, and light emitting points attached to the outer wall of the sports instrument are arranged, when the sports instrument moves, the sports instrument moves in an image sequence manner through the high-speed cameras, a coordinate system is established for the space, the high-speed cameras in the space are used as reference objects, the initial point of the sports instrument is used as an original point, the moving track of the sports instrument moves is captured to form time data, the time data is recorded, and the speed data of the sports instrument is calculated according to the time data and the sports instrument falling point data.

In this embodiment (please refer to fig. 1), the monitoring terminal further includes: displaying the movement track of the images of the athletes, displaying the movement track of the images of the sports equipment and displaying data.

In this embodiment, the athlete image motion trail display is configured to instantiate an athlete motion image sequence captured by the athlete capture module and form a continuous motion picture for display, the sports equipment image motion trail display is configured to instantiate a sports equipment movement trail image sequence captured by the equipment capture module and form a continuous motion picture for display, and the data display is configured to display data captured by the athlete capture module and the equipment capture module and store the captured data in the database.

In this embodiment (see fig. 1), the AI unit is configured to correspond the image sequence group of the same group of player movements in the database to the image sequence group of the same group of movement tracks of the sports apparatus, and perform continuous analysis according to the player movement and the initial position of the sports apparatus to calculate the sports result.

Detailed description of the preferred embodiment 1

Arranging 8 high-speed cameras in a surrounding manner in a space, attaching luminous points to force positions of athletes, allowing the athletes to perform sports, storing the motions of the athletes in an image sequence mode through the high-speed cameras, capturing muscles and capturing motions of the athletes to form data, establishing a coordinate system for the space, recording a moving track by taking the high-speed cameras in the space as a reference object and the positions of the athletes as an original point, recording time data according to the moving track, establishing the coordinate system by taking the high-speed cameras in the space as the reference object and the initial points of sports equipment as the original point, attaching the luminous points to the outer wall of the sports equipment, moving the sports equipment, storing the motions of the sports equipment in the image sequence mode through the high-speed cameras, capturing the moving tracks of the sports equipment to form data, recording the time data, and calculating the speed data of the sports equipment according to the time data and the falling point data of the sports equipment, the method comprises the steps of materializing an image sequence of the movement of the athlete captured by an athlete capturing module through the display of the movement track of the athlete image of a monitoring terminal and forming a continuous movement picture for display, materializing an image sequence of the movement track of the sports equipment captured by an equipment capturing module through the display of the movement track of the sports equipment image of the monitoring terminal and forming a continuous movement picture for display, displaying data acquired by the athlete capturing module and the equipment capturing module through data display, storing the acquired data into a database, corresponding the movement image sequence group of the same group of athletes in the database to the image sequence group of the movement track of the same group of the sports equipment through an AI unit, continuously analyzing the movement of the athlete and the initial position of the sports equipment to calculate a sports result, and comparing the calculated result with an actual sports result, with the continuous increase of the database, the calculation result is close to the actual motion result.

Specific example 2

Arranging 10 high-speed cameras in a surrounding manner in a space, attaching luminous points to force positions of athletes, allowing the athletes to perform sports, storing the motions of the athletes in an image sequence mode through the high-speed cameras, capturing muscles and capturing motions of the athletes to form data, establishing a coordinate system for the space, recording a moving track by taking the high-speed cameras in the space as a reference object and the positions of the athletes as an original point, recording time data according to the moving track, establishing the coordinate system by taking the high-speed cameras in the space as the reference object and the original points of the sports equipment as the original point, attaching the luminous points to the outer wall of the sports equipment, allowing the sports equipment to move, storing the motions of the sports equipment in the image sequence mode through the high-speed cameras, capturing the moving track of the sports equipment to form time data, recording the time data, and calculating the speed data of the sports equipment according to the time data and the falling point data of the sports equipment, the image sequence of the athlete action captured by the athlete capturing module is materialized and forms a continuous motion picture for display through the athlete image motion track display of the monitoring terminal, the image sequence of the sports apparatus motion track captured by the apparatus capturing module is materialized and forms a continuous motion picture for display through the sports apparatus image motion track display of the monitoring terminal, data display is carried out and data collected by the athlete capturing module and the apparatus capturing module are displayed, the collected data are stored in a database, the image sequence group of the same group of athlete action corresponds to the image sequence group of the same group of sports apparatus motion track in the database through an AI unit, the sports result is continuously analyzed and calculated according to the sports action of the athlete and the initial position of the sports apparatus, and the calculated result is compared with the actual sports result, along with the continuous increase of the database, the calculation result and the actual motion result are gradually close to each other, when the database reaches a certain number and the error between the calculation result and the actual motion result is small, the optimal sports result is reversely deduced, the requirements on the motion trail, the muscle capture and the motion action of the athlete are met, and the starting point of the sports equipment and the motion trail of the sports equipment are correspondingly exerted.

When the AI identification sports track data analysis system is used, it should be noted that the AI identification sports track data analysis system provided by the invention comprises components which are all universal standard components or components known by those skilled in the art, and the structure and principle of the AI identification sports track data analysis system can be known by the technical manual or by a conventional experimental method.

While there have been shown and described what are at present considered the fundamental principles and essential features of the invention and its advantages, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (8)

Translated fromChinese

1.一种AI识别体育运动轨迹数据分析系统，其特征在于：包括运动员捕捉模块、器械捕捉模块和监控终端，其中，所述监控终端包括AI单元和数据库，所述运动员捕捉模块和所述器械捕捉模块用于采集运动轨迹数据，并将采集的运动轨迹数据上传至所述监控终端形成所述数据库；所述AI单元参照所述数据库内数据组形成运动轨迹图像，对所述运动轨迹图像和体育数据结果进行数据参照，通过对运动员运动轨迹的数据分析推算所述体育数据结果，并根据所述体育数据结果反推运动员运动轨迹。1. an AI identification sports trajectory data analysis system, is characterized in that: comprise athlete capture module, equipment capture module and monitoring terminal, wherein, described monitoring terminal comprises AI unit and database, described athlete capture module and described instrument The capture module is used to collect motion track data, and upload the collected motion track data to the monitoring terminal to form the database; the AI unit refers to the data set in the database to form a motion track image, and compares the motion track image and the motion track image. The sports data results are referred to by data, and the sports data results are calculated through data analysis of the athletes' motion trajectories, and the athletes' motion trajectories are reversed according to the sports data results.2.根据权利要求1所述的一种AI识别体育运动轨迹数据分析系统，其特征在于：所述运动员捕捉模块抓捕数据包括：肌肉捕捉、动作捕捉、移动轨迹和时间数据。2. A kind of AI recognition sports trajectory data analysis system according to claim 1, is characterized in that: described athlete capture module captures data comprises: muscle capture, motion capture, movement trajectory and time data.3.根据权利要求2所述的一种AI识别体育运动轨迹数据分析系统，其特征在于：所述运动员捕捉模块采用光学捕捉，根据空间内环绕布置的摄像装置，以及运动员发力位置贴的发光点，在运动员进行体育运动时，通过所述摄像装置将运动员的动作以图像序列方式保存，对运动员的所述肌肉捕捉和所述动作捕捉形成数据，且对空间建立坐标系，以空间内所述摄像装置为参照物，运动员所在位置为原点记录所述移动轨迹，并根据所述移动轨迹记录所述时间数据。3. a kind of AI recognition sports trajectory data analysis system according to claim 2, is characterized in that: described athlete captures module adopts optical capture, according to the camera device that surrounds arrangement in space, and the luminescence of athlete's force position sticker When the athlete performs sports, the movement of the athlete is stored in an image sequence through the camera device, the muscle capture and the movement capture of the athlete are formed into data, and a coordinate system is established for the space, with all the space in the space. The camera device is a reference object, the position of the athlete is the origin to record the movement track, and the time data is recorded according to the movement track.4.根据权利要求2所述的一种AI识别体育运动轨迹数据分析系统，其特征在于：所述器械捕捉模块抓捕数据包括：速度数据、移动轨迹和时间数据。4 . An AI-recognized sports trajectory data analysis system according to claim 2 , wherein the captured data by the device capture module includes: speed data, movement trajectory and time data. 5 .5.根据权利要求4所述的一种AI识别体育运动轨迹数据分析系统，其特征在于：所述器械捕捉模块采用光学捕捉，根据空间内环绕布置的摄像装置，以及体育器械外壁贴的发光点，在体育器械进行移动时，通过所述摄像装置将体育器械运动以图像序列方式保存，且对空间建立坐标系，以空间内所述摄像装置为参照物，体育器械的初始点为原点，对体育器械运动的所述移动轨迹进行捕捉形成所述时间数据，将所述时间数据记录，并根据所述时间数据和体育器械落点数据计算体育器械的所述速度数据。5. A kind of AI recognition sports trajectory data analysis system according to claim 4, it is characterized in that: described equipment capture module adopts optical capture, according to the camera device arranged around in the space, and the luminous point of the outer wall sticker of sports equipment , when the sports equipment moves, the motion of the sports equipment is stored in an image sequence through the camera device, and a coordinate system is established for the space, the camera device in the space is used as a reference object, and the initial point of the sports equipment is the origin. The movement track of the sports equipment is captured to form the time data, the time data is recorded, and the speed data of the sports equipment is calculated according to the time data and the drop point data of the sports equipment.6.根据权利要求4所述的一种AI识别体育运动轨迹数据分析系统，其特征在于：所述监控终端还包括：运动员图像运动轨迹显示、体育器械图像运动轨迹显示和数据显示。6 . The AI-recognized sports trajectory data analysis system according to claim 4 , wherein the monitoring terminal further comprises: athlete image motion trajectory display, sports equipment image motion trajectory display and data display. 7 .7.根据权利要求6所述的一种AI识别体育运动轨迹数据分析系统，其特征在于：所述运动员图像运动轨迹显示用于将所述运动员捕捉模块捕捉的运动员动作图像序列进行实体化并形成连续运动画面进行显示，所述体育器械图像运动轨迹显示用于将所述器械捕捉模块捕捉的体育器械移动轨迹图像序列进行实体化并形成连续运动画面进行显示，所述数据显示用于将所述运动员捕捉模块和所述器械捕捉模块抓捕的数据进行显示，并将所述抓捕的数据存入所述数据库。7. a kind of AI recognition sports track data analysis system according to claim 6, is characterized in that: described athlete image motion track display is used for the athlete action image sequence that described athlete capture module captures to materialize and form The continuous motion picture is displayed, and the sports equipment image motion trajectory display is used to materialize the sports equipment movement trajectory image sequence captured by the equipment capture module and form a continuous motion picture for display, and the data display is used to display the sports equipment. The data captured by the player capturing module and the equipment capturing module is displayed, and the captured data is stored in the database.8.根据权利要求7所述的一种AI识别体育运动轨迹数据分析系统，其特征在于：所述AI单元用于将所述数据库内的同组运动员动作的图像序列组与同组体育器械移动轨迹的图像序列组相对应，并根据运动员运动动作和体育器械初始位置进行连续分析推算体育运动结果。8. a kind of AI recognition sports trajectory data analysis system according to claim 7, is characterized in that: described AI unit is used to move the image sequence group of the same group of athletes' movements in the described database and the same group of sports equipment The image sequence groups of the trajectories correspond to each other, and the sports results are calculated and analyzed continuously according to the sports movements of the athletes and the initial positions of the sports equipment.

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