論文

査読有り
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
  • Hiroki Yokota
  • ,
  • Munekazu Naito
  • ,
  • Naoki Mizuno
  • ,
  • Shigemichi Ohshima

49
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.

リンク情報
DOI
https://doi.org/10.3390/proceedings2020049040
URL
https://www.mdpi.com/2504-3900/49/1/40/pdf

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