Presentation | 2007-03-23 Estimation of Finger Posture with EMG signals for human interface Atsushi KATAYAMA, Duk SHIN, Yasuharu KOIKE, |
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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 |
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Committee | MVE |
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Conference Date | 2007/3/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Media Experience and Virtual Environment (MVE) |
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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 |
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