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JACIII Vol.15 No.5 pp. 545-553
doi: 10.20965/jaciii.2011.p0545
(2011)

Paper:

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High Accurate Discrimination Method of Forearm Motions from Surface Electromyogram and its Condition

Yoshio Nishikawa*, Yoshihito Kagawa*, and Jun Kurabayashi**

*Graduate School of Engineering, Takushoku University, 815-1 Tatemachi, Hachioji, Tokyo 193-0985, Japan

**Faculty of Health Sciences, Kyorin University, 476 Miyashita-cho, Hachioji, Tokyo 192-8508, Japan

Received:
February 21, 2011
Accepted:
April 6, 2011
Published:
July 20, 2011
Creative Commons License
Keywords:
Morlet wavelet, EMG, motion discrimination
Abstract
We propose high-speed motion discrimination method for three types of motions, pronating, flexing, and grasping without any mistake by acquired surface electromyography (EMG) signals from three locations on the right-forearm. To achieve high-speed and accurate method, we introduce motion discrimination method based on a comparison of features extracted by wavelet transform of EMG signals via a database, and also we examine the places on the forearm where the system acquires surface EMG signals. As a final, we discuss whether the discrimination rate was improved by motion training.
Cite this article as:
Y. Nishikawa, Y. Kagawa, and J. Kurabayashi, “High Accurate Discrimination Method of Forearm Motions from Surface Electromyogram and its Condition,” J. Adv. Comput. Intell. Intell. Inform., Vol.15 No.5, pp. 545-553, 2011.
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