Motion-Copying System Based on Modeling of Finger Force Characteristics Using Upper Limb-EMG

Daiki Sodenaga, Kosuke Egawa, Seiichiro Katsura

研究成果: Conference contribution

抄録

In recent years, motion-copying systems that store and reproduce human motions have attracted much attention. In the conventional method, the motion is stored using a motor, which affects the original task. In this study, we focused on the relationship between electromyography and force in order to realize unconstrained, non-contact force measurement. In this paper, we modeled the relationship between the force of pressing a force sensor with a fingertip and the myoelectric potential of performing an action by using the elemental description method, which is one of the system identification methods with easy physical interpretation. As a result, an accuracy of 0.260 N, the least squares error, was obtained. In addition, we conducted on copying and reproducing the motion of finger using this model. Although the accuracy of force estimation was low, we were able to estimate the force with the same accuracy. In the future, we aim to improve the accuracy of the estimation and to measure the force using only the myoelectric sensor without the force sensor.

本文言語English
ホスト出版物のタイトル15th IEEE International Conference on Human System Interaction, HSI 2022
出版社IEEE Computer Society
ISBN(電子版)9781665468220
DOI
出版ステータスPublished - 2022
イベント15th IEEE International Conference on Human System Interaction, HSI 2022 - Melbourne, Australia
継続期間: 2022 7月 282022 7月 31

出版物シリーズ

名前International Conference on Human System Interaction, HSI
2022-July
ISSN(印刷版)2158-2246
ISSN(電子版)2158-2254

Conference

Conference15th IEEE International Conference on Human System Interaction, HSI 2022
国/地域Australia
CityMelbourne
Period22/7/2822/7/31

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • ソフトウェア

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