Scholarlink

<p>Pull-ups are a very common fitness exercise that can be seen in many gyms. For athletes, it is very important to perform pull-ups correctly and scientifically. The pull-up scoring method designed in this paper can score the quality of pull-up movement scientifically and objectively, and provide guidance to help athletes better complete the pull-up movement. In this method, the OpenPose algorithm is used to identify the coordinates of skeleton points, and then the coordinate data are processed by a Kalman filter to obtain coordinates closer to the true values. Finally, the filtered data are input into the scoring algorithm designed based on the fuzzy comprehensive evaluation algorithm, and the results of the pull-up quality score and the corresponding guidance are obtained.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A pull-up scoring method based on skeleton point recognition and fuzzy comprehensive evaluation

  • 期刊论文

  • 发表日期：

    2026年1月12日

查看全文
  • Jiacheng Fu,
  • Peng Yu,
  • Yinghui Wang,
  • Jin Guo

摘要

Pull-ups are a very common fitness exercise that can be seen in many gyms. For athletes, it is very important to perform pull-ups correctly and scientifically. The pull-up scoring method designed in this paper can score the quality of pull-up movement scientifically and objectively, and provide guidance to help athletes better complete the pull-up movement. In this method, the OpenPose algorithm is used to identify the coordinates of skeleton points, and then the coordinate data are processed by a Kalman filter to obtain coordinates closer to the true values. Finally, the filtered data are input into the scoring algorithm designed based on the fuzzy comprehensive evaluation algorithm, and the results of the pull-up quality score and the corresponding guidance are obtained.