ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
34.11
Session ID : HI2010-66/3DIT2010-1
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Estimation of human finger movement using running spectrum of electromyogram
Koichi KATOKiyoshi HOSHINO
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
EMG signals represent muscle tension very well. Conventionally, there are studies that were going to make human machine interface by estimating finger movement in EMG.. However, their studies can't estimate the movement of two fingers using the same muscle separately. Because they didn't consider extracting a characteristic expressing movement of every finger for input signal. Therefore I tried to separating two fingers movement by estimating the MP joint angle of two fingers by the multiple regression analysis that used spectrogram.
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© 2010 The Institute of Image Information and Television Engineers
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