Presentation 2007-03-23
Estimation of Finger Posture with EMG signals for human interface
Atsushi KATAYAMA, Duk SHIN, Yasuharu KOIKE,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) EMG signals represent motor command from brain and muscle tension very well, and have some advantages as for human interface device. First, EMG signals are that there is little delay when we apply that signals to human interface, and secondarily, they can estimate joint angles and torque. Before this study, we had proposed real-time wrist posture estimation with EMG signals of front arm. But it can estimate only 3 DOF, adn it doesn't have enough usability for Virtual Reality interface. In this paper, we have proposed real-time finger and wrist posture(total 11 DOF) estimation with EMG signals of front arm.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) EMG / finger posture / human interface
Paper # MVE2006-79
Date of Issue

Conference Information
Committee MVE
Conference Date 2007/3/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of Finger Posture with EMG signals for human interface
Sub Title (in English)
Keyword(1) EMG
Keyword(2) finger posture
Keyword(3) human interface
1st Author's Name Atsushi KATAYAMA
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Duk SHIN
2nd Author's Affiliation Tokyo Institute of Technology
3rd Author's Name Yasuharu KOIKE
3rd Author's Affiliation Tokyo Institute of Technology ; CREST
Date 2007-03-23
Paper # MVE2006-79
Volume (vol) vol.106
Number (no) 611
Page pp.pp.-
#Pages 6
Date of Issue