Table tennis coaching system based on a multimodal large language model with a table tennis knowledge base.

Journal: PloS one
PMID: 39946390

Abstract

UNLABELLED: Table tennis is one of the most popular sports in the world, and it plays a positive role in the overall development of people's physical and mental health. This study develops an AI table tennis coaching system using a Multimodal Large Language Model with a table tennis knowledge base, aiming to provide precise training guidance and match strategies for table tennis beginners.

Authors

  • Wenlong Ma
    College of Food Science and Engineering, Yangzhou University, Yangzhou 225127, China.
  • Yang Liu
    Department of Computer Science, Hong Kong Baptist University, Hong Kong, China.
  • Qing Yi
    College of Physical Education, Dalian University, Dalian, Liaoning, China.
  • Xutao Liu
    Department of Sports Studies, Faculty of Educational Studies, Universiti Putra Malaysia, Serdang, Malaysia.
  • Wei Xing
    Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou Jiangsu 213003.
  • Rongji Zhao
    Department of Physical Education, Tongji University, Shanghai, China.
  • Huan Liu
    Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, Fujian, China.
  • Rongzhi Li
    School of Physical Education, Shanghai University of Sport, Shanghai, China.

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