Muscle Property Optimization Based on Motion Intentionality for Motor Skill Augmentation

DOI Web Site Web Site 参考文献8件
  • Suzuki Hinako
    Graduate School of Frontier Sciences, The University of Tokyo
  • Ayusawa Ko
    Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology
  • Murai Akihiko
    Graduate School of Frontier Sciences, The University of Tokyo Human Augmentation Research Center, National Institute of Advanced Industrial Science and Technology

この論文をさがす

説明

<p>Understanding motion intentionality is important to augment motor skills. This can be explained by the anatomical structure and innate immune mechanisms of humans. This study aimed to analyze human motion using musculoskeletal information and estimate motion intentionality, motion direction, and muscle properties. The calculation method for the easy-to-move musculoskeletal direction in the task space was reversed to calculate the optimal muscle properties and matching rate for the motion direction. The analysis results of each walking and feint motion showed that the muscles were trained toward reduced muscular effort and improved skills for each motion. In addition, the results of the optimization of the matching rate and muscle properties indicate that the optimized muscle properties can express the motion better than the reference values, and the average matching rate increases by 2.41×10-1, particularly for a feint motion. Therefore, skill acquisition and augmentation were achieved.</p>

収録刊行物

参考文献 (8)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ