A New Approach for Training on EMG-based Prosthetic Hand Control

Taro Shibanoki, Go Nakamura, Toshio Tsuji, Kazuya Hashimoto, Takaaki Chin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a training system for myoelectric prosthetic hand control in dual-arm operation. The system can train muscular cooperation timing of both arms. Training experiments under two conditions were conducted with an experienced participant and the results showed that the user could generate accurate EMG patterns at the specified timing.

Original languageEnglish
Title of host publicationLifeTech 2020 - 2020 IEEE 2nd Global Conference on Life Sciences and Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages307-308
Number of pages2
ISBN (Electronic)9781728170633
DOIs
Publication statusPublished - Mar 2020
Externally publishedYes
Event2nd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2020 - Kyoto, Japan
Duration: Mar 10 2020Mar 12 2020

Publication series

NameLifeTech 2020 - 2020 IEEE 2nd Global Conference on Life Sciences and Technologies

Conference

Conference2nd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2020
Country/TerritoryJapan
CityKyoto
Period3/10/203/12/20

Keywords

  • dual-arm operation
  • electromyogram (EMG)
  • prosthetic hand
  • training system
  • virtual reality (VR)

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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