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With the advancement of AI, strategic analysis in team sports has become increasingly valuable. In doubles badminton, the challenge lies in accurately predicting player movements in a fast-paced, dynamic environment. To tackle this, we introduce the novel TS-CVAE specifically designed for doubles badminton. TS-CVAE incorporates Team GAT, which leverages team influence graph over a few strokes to capture rapidly changing team strategies, and Opponent GAT, which holistically analyzes interactions between opposing players. Additionally, a new data augmentation module, SOSA, enhances the understanding of player positioning and strategy by incorporating singles data. Experimental results on real doubles badminton data show that TS-CVAE outperforms state-of-the-art sport forecasting models across multiple evaluation metrics. Visualized results also confirm that TS-CVAE’s predictions closely align with the ground truth.

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Player Movement Predictions Using Team and Opponent Dynamics for Doubles Badminton

  • 会议论文

  • 发表日期：

    2025年

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  • Pei-Chieh Sung,
  • Hsu-Chao Lai,
  • Ya-Chun Chang,
  • Jhy-Cheng Huang,
  • Jiun-Long Huang

摘要

With the advancement of AI, strategic analysis in team sports has become increasingly valuable. In doubles badminton, the challenge lies in accurately predicting player movements in a fast-paced, dynamic environment. To tackle this, we introduce the novel TS-CVAE specifically designed for doubles badminton. TS-CVAE incorporates Team GAT, which leverages team influence graph over a few strokes to capture rapidly changing team strategies, and Opponent GAT, which holistically analyzes interactions between opposing players. Additionally, a new data augmentation module, SOSA, enhances the understanding of player positioning and strategy by incorporating singles data. Experimental results on real doubles badminton data show that TS-CVAE outperforms state-of-the-art sport forecasting models across multiple evaluation metrics. Visualized results also confirm that TS-CVAE’s predictions closely align with the ground truth.