A training system for the MyoBock hand in a virtual reality environment

Go Nakamura, Taro Shibanoki, Keisuke Shima, Yuichi Kurita, Masaki Hasegawa, Akira Otsuka, Yuichiro Honda, Takaaki Chin, Toshio Tsuji

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

3 Citations (Scopus)

Abstract

This paper proposes a novel EMG-based MyoBock training system that consistently provides a variety of functions ranging from EMG signal control training to task training. Using the proposed training sytem, a trainee controls a virtual hand (VH) in a 3D virtual reality (VR) environment using EMG signals and position/posture information recorded from the trainee. The trainee can also perform tasks such as holding and moving virtual objects using the system. In the experiments of this study, virtual task training developed with reference to the Box and Block Test (BBT) used to evaluate myoelectric prostheses was conducted with two healthy subjects, who repeatedly performed 10 one-minute tasks involving grasping a ball in one box and transporting it to another. The BBT experiments were also conducted in a real environment before and after the virtual training, with results showing an improvement in the number of tasks successfully completed. It was therefore confirmed that the proposed system could be used for myoelectric prosthesis control training.

Original languageEnglish
Title of host publication2013 IEEE Biomedical Circuits and Systems Conference, BioCAS 2013
Pages61-64
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE Biomedical Circuits and Systems Conference, BioCAS 2013 - Rotterdam, Netherlands
Duration: Oct 31 2013Nov 2 2013

Publication series

Name2013 IEEE Biomedical Circuits and Systems Conference, BioCAS 2013

Conference

Conference2013 IEEE Biomedical Circuits and Systems Conference, BioCAS 2013
Country/TerritoryNetherlands
CityRotterdam
Period10/31/1311/2/13

ASJC Scopus subject areas

  • Hardware and Architecture
  • Biomedical Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'A training system for the MyoBock hand in a virtual reality environment'. Together they form a unique fingerprint.

Cite this