Pose estimation and performance evaluation of weight training videos using deep learning
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- LEE Younghyun
- Chuo University
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- MIURA Kazuma
- Chuo University
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- PATHAK Sarthak
- Chuo University
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- UMEDA Kazunori
- Chuo University
Bibliographic Information
- Other Title
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- 深層学習を用いたウエイトトレーニング動画のポーズ推定とパフォーマンス評価
Description
<p>In this study, we perform form evaluation for weight training based on skeletal point information obtained from a camera. Performing weight training in the correct form is important for improving muscle strength and reducing the risk of injury. However, weight training is usually performed without an instructor. Therefore, we propose a system that can evaluate trainee's own weight training form using a camera. In existing systems, the positional relationship between the camera and the person is fixed. On the contrary, our system acquires 3D skeleton point information from the video, and thus the system is robust to variations in the positional relationship between the camera and the person.</p>
Journal
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- The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
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The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2024 (0), 1P2-H07-, 2024
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390302624525644160
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- ISSN
- 24243124
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed