CN113744300B - AI discernment sports track data analysis system - Google Patents
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- CN113744300B CN113744300B CN202111153834.2A CN202111153834A CN113744300B CN 113744300 B CN113744300 B CN 113744300B CN 202111153834 A CN202111153834 A CN 202111153834A CN 113744300 B CN113744300 B CN 113744300B
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- 238000007405 data analysis Methods 0.000 title claims abstract description 20
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 210000003205 muscle Anatomy 0.000 claims description 10
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- 230000019771 cognition Effects 0.000 abstract description 4
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30241—Trajectory
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Abstract
The invention discloses an AI identification sports track data analysis system, which comprises an athlete capturing module, an instrument capturing module and a monitoring terminal, wherein the monitoring terminal comprises an AI unit and a database, the athlete capturing module and the instrument capturing module are used for acquiring sports track data and uploading the acquired sports track data to the monitoring terminal to form the database; 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 through data analysis of the motion trail of the athlete, and reversely pushes the motion trail of the athlete according to the sports data result. According to the invention, the sports score is accurately predicted through the motion track database and the AI recognition, and the optimal sports track, the athlete force-applying mode and the instrument motion track are provided through the reverse-pushing mode, so that better sports score is obtained, the cognition of human body motion is improved, and the wrong motion mode is avoided.
Description
Technical Field
The invention relates to the technical field of sports, in particular to an AI (advanced technology interface) recognition sports track data analysis system.
Background
At present, sports are various activities which are developed gradually in the course of human development and which consciously cultivate physical attributes of the individual. Various forms of physical activities such as walking, running, jumping, throwing, and dancing are taken, and these activities are commonly referred to as physical exercise processes.
However, with the continuous progress of technology, people break through the limits of themselves to create one world record, the world record is more and more difficult to break over time, athletes can hardly break through the limits of themselves, or can hardly keep the peak state,
Therefore, how to provide an AI-recognition sports track data analysis system, which can obtain an optimal sports track, a sportsman force-applying mode and an instrument sports track is a problem to be solved by those skilled in the art.
Disclosure of Invention
The invention aims to provide an AI identification 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 identification, and provides an optimal sports track, a sportsman force applying mode and an instrument sports track in a reverse-push mode, so as to obtain better sports scores, improve cognition of human body movement and avoid wrong sports modes.
In order to achieve the above purpose, the present invention provides the following technical solutions: the AI recognition sports track data analysis system comprises an athlete capturing module, an instrument capturing module and a monitoring terminal, wherein the monitoring terminal comprises an AI unit and a database, and the athlete capturing module and the instrument capturing module are used for acquiring sports track data and uploading the acquired sports track data to the monitoring terminal to form the database; and the AI unit refers to the data set in the database to form a motion trail image, refers to the motion trail image and the sports data result, calculates the sports data result through analyzing the data of the sports trail of the athlete, and reversely pushes the sports trail of the athlete according to the sports data result.
As a preferred embodiment of the present invention, the athlete capturing module captures data comprising: muscle capture, motion capture, movement trajectory, and time data.
As a preferred embodiment of the invention, the athlete capturing module adopts optical capturing, and stores the actions of the athlete in a mode of image sequences through the image capturing device according to the image capturing device which is circumferentially arranged in space and the luminous points attached to the stress positions of the athlete, forms data for the muscle capturing and the action capturing of the athlete, establishes a coordinate system for the space, takes the image capturing device in space as a reference object, takes the positions of the athlete as an origin, records the movement track, and records the time data according to the movement track.
As a preferred embodiment of the present invention, the instrument capture module captures data comprising: speed data, movement trajectory, and time data.
As a preferred embodiment of the present invention, the apparatus capturing module adopts optical capturing, stores the sports apparatus motion in a mode of image sequence by the camera device when the sports apparatus moves according to the camera device which is arranged around the space and the luminous points attached to the outer wall of the sports apparatus, establishes a coordinate system for the space, captures the moving track of the sports apparatus motion by taking the camera device in the space as a reference object and takes the initial point of the sports apparatus as an origin point to form the time data, records the time data, and calculates the speed data of the sports apparatus according to the time data and the sports apparatus drop point data.
As a preferred embodiment of the present invention, the monitoring terminal further includes: athlete image motion trail display, sports equipment image motion trail display and data display.
As a preferred embodiment of the present invention, the player image motion trajectory display is used for materializing a player motion image sequence captured by the player capturing module and forming a continuous motion picture for display, the sports equipment image motion trajectory display is used for materializing a sports equipment motion trajectory image sequence captured by the equipment capturing module and forming a continuous motion picture for display, and the data display is used for displaying data captured by the player capturing module and the equipment capturing module and storing the captured data in the database.
The AI unit is used for corresponding the image sequence group of the same group of athlete actions in the database with the image sequence group of the same group of sports equipment moving tracks, and continuously analyzing and calculating sports results according to the athlete actions and the sports equipment initial positions.
Compared with the prior art, the invention has the following beneficial effects:
According to the invention, the motion trail of the athlete and the motion trail of the sports equipment are captured through optical capturing, the motion trail of a plurality of groups of athlete and the motion trail of the sports equipment are recorded, a motion trail database is established, the sports score can be accurately predicted through the AI unit, and the optimal sports trail, the athlete force-applying mode and the equipment motion trail are provided through a reverse pushing mode, so that better sports score can be obtained, the cognition of human body motion is improved, and the wrong motion mode is avoided.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
Fig. 1 is a schematic diagram of an AI-recognition sports track data analysis system according to the present invention.
Detailed Description
The invention is further described in connection with the following detailed description, in order to make the technical means, the creation characteristics, the achievement of the purpose and the effect of the invention easy to understand.
In the description of the present invention, it should be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention; in the description of the present invention, it should be noted that, unless explicitly stated and limited otherwise, the terms "mounted," "connected," and "disposed" are to be construed broadly, and may be fixedly connected, disposed, or detachably connected, disposed, or integrally connected, disposed, for example. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Referring to fig. 1, the present invention provides a technical solution: the utility model provides an AI discernment sports track 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 track data, and upload the motion track data who gathers to monitor terminal formation database, AI unit refers to the data set in the database and forms the motion track image, carry out the data reference to motion track image and sports data result, calculate the sports data result through the data analysis to sportsman's motion track, and reverse the sportsman's motion track according to the sports data result. According to the invention, the sports score is accurately predicted through the motion track database and the AI recognition, and the optimal sports track, the athlete force-applying mode and the instrument motion track are provided in a reverse-pushing mode, so that better sports score can be obtained, the cognition of human body motion is improved, and the wrong motion mode is avoided.
In this embodiment (referring to fig. 1), the capturing data by the athlete capturing module includes: muscle capture, motion capture, movement trajectory, and time data.
In this embodiment, the athlete capturing module adopts optical capturing, and arranges 5-10 high-speed cameras around the space and luminous points attached to the athlete's force-applying position, when the athlete performs sports, the high-speed cameras store the athlete's motion in an image sequence manner, form data for capturing the athlete's muscle and motion, and establish a coordinate system for the space, record a movement track with the high-speed camera in the space as a reference object, and record time data according to the movement track.
In this embodiment (referring to fig. 1), the capturing data by the instrument capture module includes: speed data, movement trajectory, and time data.
In this embodiment, the apparatus capturing module adopts optical capturing, and surrounds 5-10 high-speed cameras and the luminous points of sports apparatus outer wall subsides in the space, when the sports apparatus moves, keeps sports apparatus motion in the form of image sequence through the high-speed cameras, and establishes a coordinate system for the space, uses the high-speed cameras in the space as the reference object, and the initial point of the sports apparatus is the origin, captures the movement track of sports apparatus motion and forms time data, records the time data, and calculates the speed data of the sports apparatus according to the time data and sports apparatus drop point data.
In this embodiment (please refer to fig. 1), the monitor terminal further includes: athlete image motion trail display, sports equipment image motion trail display and data display.
In this embodiment, the player image motion trajectory display is used to materialize the player motion image sequence captured by the player capturing module and form a continuous motion picture for display, the sports equipment image motion trajectory display is used to materialize the sports equipment motion trajectory image sequence captured by the equipment capturing module and form a continuous motion picture for display, the data display is used to display the data captured by the player capturing module and the equipment capturing module, and the captured data is stored in the database.
In this embodiment (refer to fig. 1), the AI unit is configured to correspond an image sequence set of the same group of player actions in the database to an image sequence set of the same group of sports equipment movement tracks, and continuously analyze and calculate a sports result according to the player actions and the sports equipment initial positions.
Example 1
The method comprises the steps of arranging 8 high-speed cameras around a space, attaching luminous points to the positions of the sports apparatuses, conducting sports motion on the sports apparatuses, storing the motion of the sports apparatuses in an image sequence mode through the high-speed cameras, capturing muscle and motion capturing formation data of the sports apparatuses, establishing a coordinate system for the space, taking the positions of the sports apparatuses in the space as an origin, recording a moving track according to the moving track, establishing a coordinate system for the space, taking the high-speed cameras in the space as the references, attaching luminous points to the outer walls of the sports apparatuses, conducting movement on the sports apparatuses, storing the sports apparatuses in an image sequence mode through the high-speed cameras, capturing formation data of the moving track of the sports apparatuses, recording the time data, calculating sports apparatus speed data according to the time data and the motion track data of the sports apparatuses, displaying the image sequence of the sports apparatuses captured by a player capturing module through the sports image motion track display of a monitoring terminal, materializing the image sequence of the sports apparatuses captured by the player capturing module, forming a continuous motion track, conducting image sequence display of the sports apparatuses captured by the sports apparatus capturing module, conducting image formation of the sports apparatuses, conducting continuous motion image sequence display of the sports apparatuses, and analyzing the sports apparatuses by the monitoring module, conducting continuous motion image capturing motion data of the sports apparatuses by the sports apparatuses, storing the sports apparatuses in a continuous motion image capturing module and a group of the sports apparatus, and a corresponding to the motion data of the sports apparatus are displayed by the sports apparatus, and the sports apparatus are stored in a database, and the motion data is obtained by the motion data of the sports apparatus capturing module, and the sports apparatus is obtained by the continuous image capturing the motion data, and the sports apparatus is obtained by the motion data, and comparing the estimated result with the actual movement result, wherein the estimated result is similar to the actual movement result along with the continuous increase of the database.
Example 2
The method comprises the steps of arranging 10 high-speed cameras around a space, attaching luminous points to the positions of the sports apparatuses, conducting sports motion on the sports apparatuses, storing the motion of the sports apparatuses in an image sequence mode through the high-speed cameras, capturing and capturing motion forming data of muscles of the sports apparatuses, establishing a coordinate system for the space, taking the positions of the sports apparatuses in the space as an origin, recording a moving track according to the moving track, establishing a coordinate system for the space, taking the high-speed cameras in the space as the reference, attaching luminous points to the outer walls of the sports apparatuses, conducting movement on the sports apparatuses, storing the sports apparatuses in an image sequence mode through the high-speed cameras, capturing and forming time data of the moving track of the sports apparatuses, recording the time data, calculating the speed data of the sports apparatuses according to the time data and the motion forming data of the sports apparatuses, displaying and materializing the image sequence of the sports apparatuses captured by a player capturing module through the image motion track display of a monitoring terminal, displaying the moving track of the sports apparatuses captured by the monitoring terminal, displaying the image sequence of the moving track of the sports apparatuses captured by the monitoring terminal, displaying the sports apparatuses and forming the image sequence of the sports apparatuses captured by the monitoring terminal and the sports apparatuses and the continuous motion track display unit of the sports apparatuses in the monitoring terminal and the continuous motion capturing and the sports apparatus display unit of the sports apparatus and the sports apparatus display unit of the same group, and the data is stored in the motion data of the sports apparatus is obtained by the same as the image capturing module and the sports apparatus, and the sports apparatus motion data is obtained by the continuous motion data is stored in the data, and the data of the sports apparatus capturing data is calculated, and comparing the calculated result with the actual movement result, gradually approaching the calculated result and the actual movement result along with the continuous increase of the database, reversely pushing the optimal movement result when the error of the calculated result and the actual movement result is smaller, requesting the movement track, the muscle capturing and the movement action of the athlete, and correspondingly exerting force on the starting point of the instrument and the movement track of the sports instrument.
When the AI-identified sports track data analysis system is used, it should be noted that the present invention is an AI-identified sports track data analysis system, including components that are all universal standard components or components known to those skilled in the art, and the structure and principle of the system are all known to those skilled in the art through technical manuals or through conventional experimental methods.
While the fundamental and principal features of the invention and advantages of the invention have been shown and described, 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 may be embodied in 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 disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (7)
1. An AI-identified sports trajectory data analysis system, characterized by: the monitoring system comprises an athlete capturing module, an instrument capturing module and a monitoring terminal, wherein the monitoring terminal comprises an AI unit and a database, and the athlete capturing module and the instrument capturing module are used for acquiring motion trail data and uploading the acquired motion trail data to the monitoring terminal to form the database; the AI unit refers to the data set in the database to form a motion trail image, refers to the motion trail image and the sports data result, calculates the sports data result through analyzing the data of the sports trail of the athlete, and reversely pushes the sports trail of the athlete according to the sports data result;
The AI unit is used for corresponding the image sequence group of the same group of sportsman actions in the database with the image sequence group of the same group of sports equipment moving tracks, continuously analyzing and calculating sports results according to the sportsman actions and the sports equipment initial positions, comparing the calculated results with actual sports results, gradually approaching the calculated results and the actual sports results along with the continuous increase of the database, reversely pushing the optimal sports results when errors of the calculated results and the actual sports results are small, requesting the sports tracks, muscle capturing and the sports actions of the sportsman, and correspondingly exerting force on the starting points of the equipment and the sports tracks of the sports equipment;
And identifying and predicting sports achievements through a motion trail database and AI, and providing an optimal sports trail, a sports force-generating mode and an instrument motion trail in a reverse pushing mode.
2. The AI-identified sports trajectory data analysis system of claim 1, wherein: the athlete capture module captures data comprising: muscle capture, motion capture, movement trajectory, and time data.
3. The AI-identified sports trajectory data analysis system of claim 2, wherein: the athlete capturing module adopts optical capturing, a camera device and a luminous point are arranged around the camera device in space, when the athlete performs sports, the camera device is used for storing the actions of the athlete in an image sequence mode, data are formed for muscle capturing and action capturing of the athlete, a coordinate system is established for the space, the camera device in space is used as a reference object, the position of the athlete is used as an origin point for recording the movement track, and the time data are recorded according to the movement track.
4. The AI-identified sports trajectory data analysis system of claim 2, wherein: the instrument capture module captures data comprising: speed data, movement trajectory, and time data.
5. The AI-identified sports trajectory data analysis system of claim 4, wherein: the instrument capturing module adopts optical capturing, a camera device is arranged in a surrounding mode according to a space, and a luminous point attached to the outer wall of the sports instrument is used for storing sports instrument motion in an image sequence mode through the camera device when the sports instrument moves, a coordinate system is established for the space, the camera device is used as a reference object in the space, an initial point of the sports instrument is used as an origin, a moving track of the sports instrument motion is captured to form time data, the time data is recorded, and speed data of the sports instrument are calculated according to the time data and sports instrument drop point data.
6. The AI-identified sports trajectory data analysis system of claim 4, wherein: the monitoring terminal further comprises: athlete image motion trail display, sports equipment image motion trail display and data display.
7. The AI-identified sports trajectory data analysis system of claim 6, wherein: the athlete image motion trail display is used for materializing the athlete motion image sequence captured by the athlete capturing module and forming a continuous motion picture for display, the sports equipment image motion trail display is used for materializing the sports equipment motion trail image sequence captured by the equipment capturing module and forming a continuous motion picture for display, and the data display is used for displaying the data captured by the athlete capturing module and the equipment capturing module and storing the captured data into the database.
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