Surface EMG classification for prosthesis control: fuzzy logic vs. artificial neural network

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Surface EMG classification for prosthesis control: fuzzy logic vs. artificial neural network

Electromyography control system (ECS) is a well-known technique for prosthesis control application. It consists of two main modules namely feature extraction and classification. This paper presents the investigation of the classification module in the ECS. The surface electromyographic (EMG) signal...

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Bibliographic Details
Main Authors:	Ahmad, Siti Anom, Khalid, Mohd Asyraf, Ishak, Asnor Juraiza, Md. Ali, Sawal Hamid
Format:	Conference or Workshop Item
Language:	English
Published:	SciTePress 2012
Online Access:	http://psasir.upm.edu.my/id/eprint/31662/ http://psasir.upm.edu.my/id/eprint/31662/1/31662.pdf

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