TY - GEN
T1 - A New Approach for Training on EMG-based Prosthetic Hand Control
AU - Shibanoki, Taro
AU - Nakamura, Go
AU - Tsuji, Toshio
AU - Hashimoto, Kazuya
AU - Chin, Takaaki
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number 17K12723. The experiment was conducted with the approval of Bioethics Committee of the Faculty of Engineering, Ibaraki University (number: 18T0200).
Publisher Copyright:
© 2020 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - 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.
AB - 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.
KW - dual-arm operation
KW - electromyogram (EMG)
KW - prosthetic hand
KW - training system
KW - virtual reality (VR)
UR - http://www.scopus.com/inward/record.url?scp=85085181766&partnerID=8YFLogxK
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U2 - 10.1109/LifeTech48969.2020.1570620346
DO - 10.1109/LifeTech48969.2020.1570620346
M3 - Conference contribution
AN - SCOPUS:85085181766
T3 - LifeTech 2020 - 2020 IEEE 2nd Global Conference on Life Sciences and Technologies
SP - 307
EP - 308
BT - LifeTech 2020 - 2020 IEEE 2nd Global Conference on Life Sciences and Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2020
Y2 - 10 March 2020 through 12 March 2020
ER -