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Evaluation of Physical Education Teaching Effect Based on Action Skill Recognition
Xia Ding1, Wei Peng2, Xiaoling Yi3
1School of Teacher Development, Chongqing University of Education, Chongqing 400065, China.
Computational Intelligence and Neuroscience
|June 10, 2022
Summary
This study introduces a physical education evaluation system using movement skill recognition to enhance teaching effectiveness. The system improves physical skill recognition and overall educational outcomes in colleges.
Area of Science:
- Sports Science
- Computer Vision
- Image Processing
Background:
- Modern physical education requires effective evaluation methods.
- Existing systems may not adequately capture nuanced movement skills.
- Multispectral imaging offers potential for detailed analysis.
Purpose of the Study:
- To develop and evaluate a physical education (PE) effect evaluation system.
- To integrate movement skill recognition algorithms into PE assessment.
- To explore multispectral image reproduction for practical application in PE.
Main Methods:
- Developed a PE effect evaluation system combining movement skill recognition.
- Implemented advanced functional modules: spectral acquisition, reflectance reconstruction, and color correction.
- Designed a color appearance matching algorithm using "color appearance transformation" and "color appearance inversion" for observation condition-independent matching.
Main Results:
- The developed system effectively evaluates physical education effects.
- The multispectral image reproduction system demonstrated practical applicability.
- Color appearance matching achieved consistency across different observation conditions.
Conclusions:
- The physical education effect evaluation system based on action skill recognition meets practical needs.
- The system significantly promotes physical skill recognition.
- The research contributes to improving the overall effectiveness of physical education.
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