Presentation | 2000/5/4 Estimate of arm posture from EMG signals Osamu Shimada, Kyosuke Nishiyama, Makoto Sato, Yasuharu Koike, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | EMG signals are expected an application to a human interface or medical engineering. An artificial neural network model can learn the correlation between EMG signals and joint angles, so that model can estimate arm posture. Because this method requires much time for learning, it is difficult to estimate arm posture in real-time. The arm posture can′t be estimated properly because the condition of the electrode changes when it is re-covered even if the model which has been learned is used. It is all the more when a subject is different because of the different use of muscles. In this report, we proposed the normalize method of EMG signals and how to choose a model by using the network of 5 layer which an input signal is restored to. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | ENG / neural network model / normalization / restoration / realtime |
Paper # | PRMU2000-2, MI2000-2 |
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Conference Information | |
Committee | MI |
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Conference Date | 2000/5/4(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Medical Imaging (MI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Estimate of arm posture from EMG signals |
Sub Title (in English) | |
Keyword(1) | ENG |
Keyword(2) | neural network model |
Keyword(3) | normalization |
Keyword(4) | restoration |
Keyword(5) | realtime |
1st Author's Name | Osamu Shimada |
1st Author's Affiliation | Tokyo Institute of Technology() |
2nd Author's Name | Kyosuke Nishiyama |
2nd Author's Affiliation | Tokyo Institute of Technology |
3rd Author's Name | Makoto Sato |
3rd Author's Affiliation | Tokyo Institute of Technology |
4th Author's Name | Yasuharu Koike |
4th Author's Affiliation | Tokyo Institute of Technology |
Date | 2000/5/4 |
Paper # | PRMU2000-2, MI2000-2 |
Volume (vol) | vol.100 |
Number (no) | 45 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |