Presentation 2003/11/14
The Motion Generation System in Multi-flexibility Myoelectric Hands
Satoru SUEMATSUT, Hirokazu YOKOI,
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Abstract(in English) In former research, a scholar make A Neural Network to learn the relationship between the EMG pattern and the finger movement. But It doesn't sufficiently for user, because of a user needs to perform innumerable movement in everyday life. So, the system that realize movement which un-learn pattern is necessary. This research concept is to create Multi-flexibility Myoelectric Hands that realize various movement from finited training data. Accordingly, This paper is that examined about realize un-learn pattern through simulations.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Volterra network / Motion generation / Correlation among each finger joint
Paper # NC2003-77
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Committee NC
Conference Date 2003/11/14(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The Motion Generation System in Multi-flexibility Myoelectric Hands
Sub Title (in English)
Keyword(1) Volterra network
Keyword(2) Motion generation
Keyword(3) Correlation among each finger joint
1st Author's Name Satoru SUEMATSUT
1st Author's Affiliation Department of Biological Functions and Engineering Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology()
2nd Author's Name Hirokazu YOKOI
2nd Author's Affiliation Department of Biological Functions and Engineering Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology
Date 2003/11/14
Paper # NC2003-77
Volume (vol) vol.103
Number (no) 465
Page pp.pp.-
#Pages 4
Date of Issue