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| A pull-up scoringmethod based on skeleton point recognition and fuzzy comprehensive evaluation |
| JiachengFu1,2,PengYu1,2,YinghuiWang1,2,JinGuo1,2 |
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| (1 School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
2 Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China) |
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| 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. |
| 关键词: Pull-ups · Pose estimation · Kalman filtering · Fuzzy comprehensive evaluation |
| DOI：https://doi.org/10.1007/s11768-025-00289-z |
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| 基金项目: |
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| A pull-up scoringmethod based on skeleton point recognition and fuzzy comprehensive evaluation |
| Jiacheng Fu1,2,Peng Yu1,2,Yinghui Wang1,2,Jin Guo1,2 |
| (1 School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
2 Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing 100083, China) |
| Abstract: |
| 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. |
| Key words: Pull-ups · Pose estimation · Kalman filtering · Fuzzy comprehensive evaluation |
