Simulation study on the effects of adaptive time for assist considering release of isometric force during elbow flexion

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

The increasing trend of development of assistive technology allows for the use of assistive robots such as power assist devices to be prevalent in various social domains. Such power assist devices usually provide incidental power to their users, requiring human-machine force interaction. If the power assist device requires users to release their muscular force without considering adaptive time, users might be confused to control the level of their manual performance in response to the external force. This study investigated adaptive time with varying release rates of isometric force during one-arm elbow flexion, focusing on muscle activity and force control. Eight participants conducted graphical force-tracking tasks designed to simulate power-assist condition. Electromyography signals and the tension forces of the biceps brachii and triceps brachii were measured. The results implied that sufficient adaptive time for muscular force release induced better performance level with a smaller difference between the target force and the actual force. However, higher subjective exertion was also accompanied during the longer time for muscular force release. This study suggests that in designing power assist devices, the duration for muscular force release and consequent characteristics should be considered to maintain the precise level of force control.

本文言語英語
ホスト出版物のタイトルProceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) - Volume III
ホスト出版物のサブタイトルMusculoskeletal Disorders
編集者Riccardo Tartaglia, Sara Albolino, Thomas Alexander, Sebastiano Bagnara, Yushi Fujita
出版社Springer Verlag
ページ347-350
ページ数4
ISBN(印刷版)9783319960821
DOI
出版ステータス出版済み - 1 1 2019
イベント20th Congress of the International Ergonomics Association, IEA 2018 - Florence, イタリア
継続期間: 8 26 20188 30 2018

出版物シリーズ

名前Advances in Intelligent Systems and Computing
820
ISSN(印刷版)2194-5357

その他

その他20th Congress of the International Ergonomics Association, IEA 2018
Countryイタリア
CityFlorence
Period8/26/188/30/18

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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