Exploring the Application of AI and Augmented Reality in School Sports Training

Single augmented reality (AR) technology can generate sports training animation by means of simulation and 3D modeling. However, this method cannot output accurate action recognition results. Therefore, in order to further accurately recognize the movements of school sports training, the research on the application of AI and AR technology in school sports training was carried out by this paper. In this paper, AR technology is introduced to realize the accurate capture and retargeting of trainers’ movements so as to generate high-quality sports training animations. After obtaining the sports training animation, in order to further enhance the training effect, the graph neural network is adopted to build a sports training action recognition model, which can accurately recognize and analyze the action patterns of the trainers. The findings of the experiment indicate that the proposed method can recognize more than 94.7% of the trainer’s movements, and the recognition response time is less than 12[Formula: see text]ms, so the application effect is good.

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Publication Details

Journal
International Journal of High Speed Electronics and Systems
Published
2025-06-21
DOI
https://doi.org/10.1142/s0129156425406126
Primary Topic
Human Motion and Animation
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the Application of AI and Augmented Reality in School Sports Training

Yu Pengda
International Journal of High Speed Electronics and Systems
Human Motion and Animation
article

Exploring the Application of AI and Augmented Reality in School Sports Training

Yu Pengda
article en

Abstract

Single augmented reality (AR) technology can generate sports training animation by means of simulation and 3D modeling. However, this method cannot output accurate action recognition results. Therefore, in order to further accurately recognize the movements of school sports training, the research on the application of AI and AR technology in school sports training was carried out by this paper. In this paper, AR technology is introduced to realize the accurate capture and retargeting of trainers’ movements so as to generate high-quality sports training animations. After obtaining the sports training animation, in order to further enhance the training effect, the graph neural network is adopted to build a sports training action recognition model, which can accurately recognize and analyze the action patterns of the trainers. The findings of the experiment indicate that the proposed method can recognize more than 94.7% of the trainer’s movements, and the recognition response time is less than 12[Formula: see text]ms, so the application effect is good.

International Journal of High Speed Electronics and Systems
Jilin University (CN)
Openalex Percentile: Top 84%
Human Motion and Animation
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Exploring the Application of AI and Augmented Reality in School Sports Training — Yu Pengda · International Journal of High Speed Electronics and Systems (2025) | TGRS Research Map | TGRS