CN109821202A - A kind of athletic training movement auxiliary direction system based on artificial intelligence - Google Patents
A kind of athletic training movement auxiliary direction system based on artificial intelligence Download PDFInfo
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- CN109821202A CN109821202A CN201910150088.8A CN201910150088A CN109821202A CN 109821202 A CN109821202 A CN 109821202A CN 201910150088 A CN201910150088 A CN 201910150088A CN 109821202 A CN109821202 A CN 109821202A
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Abstract
The invention discloses a kind of, and the athletic training based on artificial intelligence acts auxiliary direction system, its motion state acquisition module pastes motion state data of the Posture acquisition patch acquisition human body that large arm and/or forearm and/or wrist and/or the back of the hand and/or finger and/or ankle and/or thigh and/or waist is arranged in training by bearing hydrocolloid dressing layer, is sent to monitor terminal by wireless communication module；Motion state data display module, action criteria judgment module, action director's suggestion output module, data processing module, human-machine operation module and central processing unit are equipped in its monitor terminal.The present invention realizes the automatic judgement and guidance of athletic training movement, it is pasted based on homemade Posture acquisition, it can carry out the real-time acquisition of each limbs position data of body, trainer is facilitated to adjust the specific aim of each movement, improve training effectiveness, so that movement more standardizes, while also mitigating the workload of coach.
Description
Technical field
The present invention relates to athletic training fields, and in particular to a kind of athletic training movement auxiliary direction based on artificial intelligence
System.
Background technique
Currently, the mode for mostly using coach to be trained movement observation guidance on the spot greatly carries out during athletic training,
Or the acquisition of video is trained using camera, then after terminating training, coach carries out observation and subsequent guidance
Mode, most of trainer can only lean on self cognition and comprehension, so that the efficiency of training is extremely low, while training action
It is lack of standardization, will affect the performance of individual sports ability.
Summary of the invention
To solve the above problems, the present invention provides a kind of, the athletic training based on artificial intelligence acts auxiliary direction system
System is realized the automatic judgement and guidance of athletic training movement, is pasted based on homemade Posture acquisition, can carry out each limbs institute of body
In the real-time acquisition of position data, facilitate trainer to adjust the specific aim of each movement, improve training effectiveness, so that movement
It more standardizes, while also mitigating the workload of coach.
To achieve the above object, the technical scheme adopted by the invention is as follows:
A kind of athletic training movement auxiliary direction system based on artificial intelligence, including the Image Acquisition mould being connected by internet
Block, motion state acquisition module, server and monitor terminal；
Described image acquisition module is used to carry out the acquisition of target sport action image data, and collected data are passed through nothing
Line communication module is sent to monitor terminal；
The motion state acquisition module by bearing hydrocolloid dressing layer paste setting in large arm and/or forearm and/or wrist and/or
Movement shape of the Posture acquisition of the back of the hand and/or finger and/or ankle and/or thigh and/or waist patch acquisition human body in training
State data are sent to monitor terminal by wireless communication module；
It is equipped in the monitor terminal:
Motion state data display module, for carrying out the display of current motion state data；
Action criteria judgment module is carried out for the motion state data received to be inputted corresponding action criteria judgment models
The judgement of current action normal conditions；
Action director suggests output module, and the assessment result for exporting action criteria judgment module inputs corresponding guidance meaning
See that model exports corresponding instruction, while sending data processing module for instruction, and pass through short message editing module
It is sent to the mobile terminal of corresponding trainer；
Data processing module, for motion state data, the action criteria judging result received of the mode using hyperlink
And corresponding instruction carries out the label of target action image, and will complete the image storage of label in corresponding server
In database；
Human-machine operation module logs in for user, inputs various control commands and data to be stored；
Central processing unit, for coordinating above-mentioned module work, for receiving the various control commands of man-machine operation module input, and
Specified module is sent to according to preset algorithm；It is also used to user's registration, rights management and password modification.
It further, can be real by access server after the monitor terminal uses the form of cell phone application, user to log in
The calling of target data in existing permission.
Further, a training result statistical module is additionally provided in the monitor terminal, for training monthly quarterly
As a result statistical data summarizes, and trainer is facilitated to inquire motion conditions, mainly the number comprising each action training, matching value,
Instruction is corrected in movement.
Further, the action criteria judgment models and instruction model are all made of BP neural network model.
Further, the action criteria judgment module carries out current action based on the kinect depth data of target image
The judgement of type, to call corresponding action criteria judgment models.
Further, Posture acquisition patch includes silica gel shell, be mounted on three-dimensional attitude sensor in silica gel shell,
RFID chip and wireless communication module, the bearing hydrocolloid dressing layer are evenly arranged in silica gel shell bottom surface.
Further, the RFID chip is used to be written the limbs title where current pose acquisition patch, each RFID core
Piece is interior to be loaded with number information, and any two RFID chip number informations are different.
Further, the human-machine operation module includes picture input module, voice input module and text input module.
The invention has the characteristics that and advantage:
It automatic judgement based on homemade Posture acquisition patch and the athletic training movement of BP neural network model realization and instructs,
Facilitate trainer to adjust the specific aim of each movement, improve training effectiveness, so that movement more standardizes, also mitigates simultaneously
The workload of coach；Training picture, action state data, action criteria judging result and corresponding instruction are carried out
Integration storage, greatly facilitates the use of later data.
Detailed description of the invention
Fig. 1 is the system frame that a kind of athletic training based on artificial intelligence of the embodiment of the present invention acts auxiliary direction system
Figure.
Specific embodiment
In order to make objects and advantages of the present invention illustrate to be more clear, this is carried out below in conjunction with example further
It is described in detail.It should be appreciated that specific example described herein is not intended to limit the present invention only to explain the present invention.
As shown in Figure 1, present example provides a kind of athletic training movement auxiliary direction system based on artificial intelligence,
Including image capture module, motion state acquisition module, server and the monitor terminal being connected by internet；
Described image acquisition module is used to carry out the acquisition of target sport action image data, and collected data are passed through nothing
Line communication module is sent to monitor terminal；
The motion state acquisition module by bearing hydrocolloid dressing layer paste setting in large arm and/or forearm and/or wrist and/or
Movement shape of the Posture acquisition of the back of the hand and/or finger and/or ankle and/or thigh and/or waist patch acquisition human body in training
State data are sent to monitor terminal by wireless communication module；The Posture acquisition patch includes silica gel shell, is mounted on outside silica gel
Three-dimensional attitude sensor, RFID chip and wireless communication module in shell, the bearing hydrocolloid dressing layer are evenly arranged in outside silica gel
Shell bottom surface.The RFID chip is used to be written the limbs title where current pose acquisition patch, and each RFID chip contains
There is number information, and any two RFID chip number informations are different；
The monitor terminal uses the form of cell phone application, is inside equipped with:
Motion state data display module, for carrying out the display of current motion state data；
Action criteria judgment module is carried out for the motion state data received to be inputted corresponding action criteria judgment models
The judgement of current action normal conditions；
Action director suggests output module, and the assessment result for exporting action criteria judgment module inputs corresponding guidance meaning
See that model exports corresponding instruction, while sending data processing module for instruction, and pass through short message editing module
It is sent to the mobile terminal of corresponding trainer；
Data processing module, for motion state data, the action criteria judging result received of the mode using hyperlink
And corresponding instruction carries out the label of target action image, and will complete the image storage of label in corresponding server
In database；
Human-machine operation module, including picture input module, voice input module and text input module are logged in for user, defeated
Enter various control commands and data to be stored；Target data in permission may be implemented by accessing server after user's login
It calls；
Training result statistical module facilitates trainer to inquire fortune for summarizing for training result statistical data monthly quarterly
Emotionally condition, mainly instruction is corrected in the number comprising each action training, matching value, movement；
Central processing unit, for coordinating above-mentioned module work, for receiving the various control commands of man-machine operation module input, and
Specified module is sent to according to preset algorithm；It is also used to user's registration, rights management and password modification.
In the present embodiment, the action criteria judgment models and instruction model are all made of BP neural network model.
In the present embodiment, the action criteria judgment module is currently moved based on the kinect depth data of target image
Make the judgement of type, to call corresponding action criteria judgment models.Specifically, carrying out bone by kinect depth transducer
Bone acquisition of information, eliminates the shake and noise jamming of obtained bone information, and calculates the angle rotation for obtaining all bones pair
Then the angle moving in rotation SO3 matrix information for calculating resulting bone pair is inputted corresponding movement by mobile SO3 matrix information
Type decision BP neural network model exports corresponding type of action result.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
For member, without departing from the principle of the present invention, it can also make several improvements and retouch, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (8)
1. a kind of athletic training based on artificial intelligence acts auxiliary direction system, which is characterized in that including passing through internet phase
Image capture module, motion state acquisition module, server and monitor terminal even；
Described image acquisition module is used to carry out the acquisition of target sport action image data, and collected data are passed through nothing
Line communication module is sent to monitor terminal；
The motion state acquisition module by bearing hydrocolloid dressing layer paste setting in large arm and/or forearm and/or wrist and/or
Movement shape of the Posture acquisition of the back of the hand and/or finger and/or ankle and/or thigh and/or waist patch acquisition human body in training
State data are sent to monitor terminal by wireless communication module；
It is equipped in the monitor terminal:
Motion state data display module, for carrying out the display of current motion state data；
Action criteria judgment module is carried out for the motion state data received to be inputted corresponding action criteria judgment models
The judgement of current action normal conditions；
Action director suggests output module, and the assessment result for exporting action criteria judgment module inputs corresponding guidance meaning
See that model exports corresponding instruction, while sending data processing module for instruction, and pass through short message editing module
It is sent to the mobile terminal of corresponding trainer；
Data processing module, for motion state data, the action criteria judging result received of the mode using hyperlink
And corresponding instruction carries out the label of target action image, and will complete the image storage of label in corresponding server
In database；
Human-machine operation module logs in for user, inputs various control commands and data to be stored；
Central processing unit, for coordinating above-mentioned module work, for receiving the various control commands of man-machine operation module input, and
Specified module is sent to according to preset algorithm；It is also used to user's registration, rights management and password modification.
2. a kind of athletic training based on artificial intelligence as described in claim 1 acts auxiliary direction system, which is characterized in that
The monitor terminal uses the form of cell phone application, and target data in permission may be implemented by accessing server after user's login
Calling.
3. a kind of athletic training based on artificial intelligence as described in claim 1 acts auxiliary direction system, which is characterized in that
A training result statistical module is additionally provided in the monitor terminal, the remittance for training result statistical data monthly quarterly
Always, trainer is facilitated to inquire motion conditions.
4. a kind of athletic training based on artificial intelligence as described in claim 1 acts auxiliary direction system, which is characterized in that
The action criteria judgment models and instruction model are all made of BP neural network model.
5. a kind of athletic training based on artificial intelligence as described in claim 1 acts auxiliary direction system, which is characterized in that
The action criteria judgment module carries out the judgement of current action type based on the kinect depth data of target image, to adjust
With corresponding action criteria judgment models.
6. a kind of athletic training based on artificial intelligence as described in claim 1 acts auxiliary direction system, which is characterized in that
The Posture acquisition patch includes silica gel shell, three-dimensional attitude sensor, RFID chip and the channel radio being mounted in silica gel shell
Module is interrogated, the bearing hydrocolloid dressing layer is evenly arranged in silica gel shell bottom surface.
7. a kind of athletic training based on artificial intelligence as claimed in claim 6 acts auxiliary direction system, which is characterized in that
For the RFID chip for the limbs title where current pose acquisition patch is written, each RFID chip is interior to be loaded with number letter
Breath, and any two RFID chip number informations are different.
8. a kind of athletic training based on artificial intelligence as described in claim 1 acts auxiliary direction system, which is characterized in that
The human-machine operation module includes picture input module, voice input module and text input module.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110706545A (en) * | 2019-10-24 | 2020-01-17 | 西安交通大学医学院第二附属医院 | Intracardiac branch of academic or vocational study operation simulation training system |
| CN110787439A (en) * | 2019-11-14 | 2020-02-14 | 宜春学院 | Wushu training evaluation device based on electronic data acquisition |
| CN112090053A (en) * | 2020-09-14 | 2020-12-18 | 成都拟合未来科技有限公司 | 3D interactive fitness training method, device, equipment and medium |
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| WO2010001318A1 (en) * | 2008-07-03 | 2010-01-07 | Koninklijke Philips Electronics N.V. | A human activity monitoring system with tag detecting means |
| CN105597309A (en) * | 2016-03-29 | 2016-05-25 | 欧伟强 | Practicing device for freestyle football training and dancing recreation |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110706545A (en) * | 2019-10-24 | 2020-01-17 | 西安交通大学医学院第二附属医院 | Intracardiac branch of academic or vocational study operation simulation training system |
| CN110787439A (en) * | 2019-11-14 | 2020-02-14 | 宜春学院 | Wushu training evaluation device based on electronic data acquisition |
| CN112090053A (en) * | 2020-09-14 | 2020-12-18 | 成都拟合未来科技有限公司 | 3D interactive fitness training method, device, equipment and medium |
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