JRM Vol.11 No.6 pp. 455-460
doi: 10.20965/jrm.1999.p0455


Robot Hand and Finger Motion Using EMG

Masafumi Uchida*, Hisaya Tanaka**, Hideto Ide** and Syuichi Yokoyama***

*Wakayama University

**College of Science and Engineering, Aoyama Gakuin University, 6-16-1 Chitosedai, Setagaya-ku, Tokyo 157, Japan

***Kogakuin University

May 27, 1999
June 4, 1999
December 20, 1999
EMG, robot hand, artificial arm, finger motion, principal component analysis
Concerning a measurement of finger motion with a view to controlling of a robot hand and an artifical arm, we studied how to distinguish a finger motion by EMG with a continuous motion. A distinction system is a neural network. However, a process in front of in front of input to neural network, so-called a pre-process, is important before everything in the extraction of a characteristic of EMG with each finger motion. In this study, as a result of the application of a principal component analysis by way of pre-process, we could find a characteristic in computed eigen vector. As a result of experiment of distinction between each fingers concerning a continuous motion of finger, we could confirm an effectiveness of a proposed system.
Cite this article as:
M. Uchida, H. Tanaka, H. Ide, and S. Yokoyama, “Robot Hand and Finger Motion Using EMG,” J. Robot. Mechatron., Vol.11 No.6, pp. 455-460, 1999.
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