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- 李 映弦
- 中央大
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- 三浦 一真
- 中央大
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- Sarthak Pathak
- 中央大学
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- 梅田 和昇
- 中央大学
書誌事項
- タイトル別名
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- Pose estimation and performance evaluation of weight training videos using deep learning
- 公開日
- 2024
- DOI
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- 10.1299/jsmermd.2024.1p2-h07
- 公開者
- 一般社団法人 日本機械学会
説明
<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>
収録刊行物
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- ロボティクス・メカトロニクス講演会講演概要集
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ロボティクス・メカトロニクス講演会講演概要集 2024 (0), 1P2-H07-, 2024
一般社団法人 日本機械学会
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詳細情報 詳細情報について
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- CRID
- 1390302624525644160
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- ISSN
- 24243124
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可

