Presentation | 2005/11/12 Multi-Fingered Myoelectric Hand to Generate Various Motions from Surface EMG Signals Masafumi MURAKAMI, Satoru SUEMATSU, Hirokazu YOKOI, |
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Abstract(in English) | Research Myoelectric Hands of using the conventional Neural Network is a method which learns the relation between EMG patterns and finger movement, and is reproduced using a Neural Network. But it doesn't sufficiently for user, because of a user needs to perform innumerable movement in everyday life and EMG changes by the muscle wasting and gap of the electrode position etc. So, the system that realize movement which unlearning pattern is necessary. Therefore the system combines or unites the components of motion, the system generates various motions. In this paper, we examine the system that generate motions from surface electromyogram on forearm. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Myoelectric Hands / Neural Network / Volterra Neuron |
Paper # | NC2005-77 |
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Committee | NC |
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Conference Date | 2005/11/12(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Multi-Fingered Myoelectric Hand to Generate Various Motions from Surface EMG Signals |
Sub Title (in English) | |
Keyword(1) | Myoelectric Hands |
Keyword(2) | Neural Network |
Keyword(3) | Volterra Neuron |
1st Author's Name | Masafumi MURAKAMI |
1st Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology() |
2nd Author's Name | Satoru SUEMATSU |
2nd Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology |
3rd Author's Name | Hirokazu YOKOI |
3rd Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology |
Date | 2005/11/12 |
Paper # | NC2005-77 |
Volume (vol) | vol.105 |
Number (no) | 419 |
Page | pp.pp.- |
#Pages | 4 |
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