Deep Learning-based System for Real-time Segmented Timing and Acceleration Analysis in Swimming

Fu Sung Lin, Ying Hsien Chen, Yu Hao Li, Yu Wen Huang, Tsang Hai Huang, Chih Hsien Huang

研究成果: Conference contribution

摘要

Computer vision-based motion tracking has gained significant attention in various areas including sports. We developed a deep learning (DL)-based system combined with object tracking techniques to track swimmers' information in swimming using real-time automatic segmented timing. The proposed system improved the efficiency of swimmer training and enabled coaches and athletes to evaluate their performance and adjust their practice methods. The system incorporated a YOLOv4-tiny tracking model to detect and track swimmers in real-time. This model was trained with approximately 100,000 images captured by underwater and above-water cameras. The system continuously tracked and marked the swimmers' positions using bounding boxes (Bbox). Segmented timing was determined by analyzing the time for the bounding box to cross predefined reference lines within the image. The system also used side-view image tracking, too to detect swimmer positions. Swimming data were displayed including segmented timing. The proposed system offered benefits for swimmers and coaches. Swimmers could monitor their progress, track their swim speed, and improve performance. Coaches evaluated swimming techniques, identified what to improve, and customized training plans based on real-time feedback and detailed analysis. The real-time automatic segmented timing and display of swimmers' tracking data provided a comprehensive overview of the performance and efficient training in swimming.

原文English
主出版物標題Proceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention, ICKII 2023
編輯Teen-Hang Meen
發行者Institute of Electrical and Electronics Engineers Inc.
頁面332-334
頁數3
ISBN(電子)9798350323535
DOIs
出版狀態Published - 2023
事件6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023 - Sapporo, Japan
持續時間: 2023 8月 112023 8月 13

出版系列

名字Proceedings of the 2023 IEEE 6th International Conference on Knowledge Innovation and Invention, ICKII 2023

Conference

Conference6th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2023
國家/地區Japan
城市Sapporo
期間23-08-1123-08-13

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 電腦視覺和模式識別
  • 軟體
  • 決策科學(雜項)
  • 資訊系統與管理
  • 控制與系統工程
  • 控制和優化
  • 人工智慧

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