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Motion evaluation guidance method and system based on deep learning

A deep learning, motion technology

Active Publication Date: 2020-12-18
北京健康有益科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the judgment of the accuracy of sports movements is mainly based on the manual judgment of experienced professionals. This method is highly dependent on people, but the efficiency is not high.

Method used

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  • Motion evaluation guidance method and system based on deep learning
  • Motion evaluation guidance method and system based on deep learning
  • Motion evaluation guidance method and system based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0123] In order to more clearly illustrate the technical solutions and advantages of the present invention, a method for judging and guiding sports based on deep learning provided in this embodiment of the present invention, the method includes the following steps:

[0124] S101. Collect image information of user actions.

[0125] Specifically, when the user moves following the standard video played, the image information of the user's movement is automatically collected through the camera. Wherein, the exercise may be Tai Chi or other exercises.

[0126] S102. Perform preprocessing on the image information.

[0127] Carrying out image enhancement processing on the image information, transforming the grayscale of the image, making the image clearer, enhancing the contrast, and highlighting the edge features;

[0128] Further, image smoothing is performed on the processed image to remove additive noise, multiplicative noise and quantization noise; and image sharpening is furt...

Embodiment 2

[0147] Based on the deep learning-based sports judgment and guidance method provided in Embodiment 1, the present application also provides a deep learning-based sports judgment and guidance system, including:

[0148] The collection module is used to collect the image information of the user's actions; specifically, it is used to automatically collect the image information of the user's movement when the user moves along with the played standard video.

[0149] A preprocessing module, configured to preprocess the image information; specifically, to: perform image enhancement processing on the image information, transform the grayscale of the image, make the image clearer, enhance the contrast, and highlight the edge features; further , performing image smoothing processing on the processed image to remove additive noise, multiplicative noise and quantization noise; and further performing image sharpening processing on the processed image to make the edges in the image clear. ...

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Abstract

The invention relates to a motion evaluation guidance method and system based on deep learning. The method comprises the following steps: collecting image information of a user action; preprocessing the image information; detecting key point information of a human body in the preprocessed image information; acquiring user action information according to the key point information of the human body;performing comparative analysis on the user action information and standard action information to obtain a comparative analysis result; and providing the comparison and analysis result for the user.The scheme can improve the efficiency of motion evaluation guidance.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a deep learning-based sports evaluation and guidance method and system. Background technique [0002] As people's demand for physical health becomes stronger and stronger, more and more people participate in sports and fitness, and reasonable exercise methods and standard exercise actions are more conducive to human health. In the process of exercise, there are many postures of the human body, a large number of human joints involved, a large range of motion, and a variety of sports, and the evaluation standards in different sports professional fields are quite different. At present, the judgment of the accuracy of sports movements is mainly based on the manual judgment of experienced professionals. This method is highly dependent on people, but the efficiency is not high. [0003] In view of this, in view of the above deficiencies, it is necessary to provide a method a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/23G06F18/241
Inventor 李宇欣裘实
Owner 北京健康有益科技有限公司