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With the deep integration of the sports and artificial intelligence, intelligent action recognition of Table tennis has been a hot topic due to its great potential to improve the level of table tennis by the analysis results. As such, a deep spatio-temporal neural network is designed to recognize the basic actions of table tennis based on the videos of table tennis matches in this paper. The principles of proposed framework are discussed in detail and various experiments are made to verify the effectiveness of proposed scheme.

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Action Recognition of Table Tennis Based on Deep Spatio-Temporal Neural Network

  • 会议论文

  • 发表日期：

    2025年

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  • Jiale Xu,
  • Shaoqi Zhang,
  • Chenyu Wang,
  • Xiaohan Yu,
  • Yuning Wang,
  • Junsheng Mu

摘要

With the deep integration of the sports and artificial intelligence, intelligent action recognition of Table tennis has been a hot topic due to its great potential to improve the level of table tennis by the analysis results. As such, a deep spatio-temporal neural network is designed to recognize the basic actions of table tennis based on the videos of table tennis matches in this paper. The principles of proposed framework are discussed in detail and various experiments are made to verify the effectiveness of proposed scheme.