2020年6月15日
Evaluation of a Framework for Visual-Feedback Training Based on a Modified Self-Organizing Map Using Sensing Information Including Muscle Activity
Proceedings
- ,
- ,
- ,
- 巻
- 49
- 号
- 1
- 開始ページ
- 40
- 終了ページ
- 40
- 記述言語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.3390/proceedings2020049040
- 出版者・発行元
- MDPI AG
In this research, we propose a visual-feedback system and evaluate it based on motion-sensing and computational technologies. This system will help amateur athletes imitate the motor skills of professionals. Using a self-organizing map (SOM) to visualize high-dimensional time-series motion data, we recorded the cyclic motion information, including the muscle activities, of a male subject as he pedaled a bicycle ergometer. To clarify the difference between the subject’s motor skill and the target motor skill in a cyclic movement, we used the modified SOM algorithm; a visual-feedback system was developed, which displayed the target motion as a circular trajectory on a two-dimensional motor skills map. The subject trained by observing only the displayed static target trajectory; the subject’s real-time trajectory was constructed from the subject’s real-time motion. We validated our proposed framework for the visual-feedback system by evaluating the motion performance of a subject using feedback training.
- ID情報
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- DOI : 10.3390/proceedings2020049040
- eISSN : 2504-3900