Presentation 2003/6/27
Construction of Wrist EMG Pattern Recognition System By Neural Networks
Yuji MATSUMURA, Minoru FUKUMI, Norio AKAMATSU, Fumiaki TAKEDA,
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Abstract(in English) In recent years, a model in which information terminals including a mobile phone have a highly efficient performance by progress of IT technology is spreading. If such a standard is used, it will be thought that it becomes possible to collect the operation interface of various apparatus with one equipment and to perform it. However, such a device has not been provided yet. Then, in this paper, a recognition system of wrist operations is proposed by paying attention to ElectroMyoGram (EMG) which is the living body signal generated with at-any-time movement of a subject. Recognition using the Fast Fourier Transform (FFT) and Neural Networks (NN) is carried out.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) ElectroMyoGram / FFT / NN / Pattern Recognition
Paper # HIP2003-42
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Committee HIP
Conference Date 2003/6/27(1days)
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Registration To Human Information Processing (HIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Construction of Wrist EMG Pattern Recognition System By Neural Networks
Sub Title (in English)
Keyword(1) ElectroMyoGram
Keyword(2) FFT
Keyword(3) NN
Keyword(4) Pattern Recognition
1st Author's Name Yuji MATSUMURA
1st Author's Affiliation Faculty of Engineering, University of Tokushima()
2nd Author's Name Minoru FUKUMI
2nd Author's Affiliation Faculty of Engineering, University of Tokushima
3rd Author's Name Norio AKAMATSU
3rd Author's Affiliation Faculty of Engineering, University of Tokushima
4th Author's Name Fumiaki TAKEDA
4th Author's Affiliation Kochi University of Technology
Date 2003/6/27
Paper # HIP2003-42
Volume (vol) vol.103
Number (no) 166
Page pp.pp.-
#Pages 6
Date of Issue