Surface electromyography hand motion classification using time domain features and artificial neural network for real time application

Surface electromyography hand motion classification using time domain features and artificial neural network for real time application

This paper presents the efficiency of time domain features and Artificial Neural Network (ANN) classifier for real time Surface Electromyography (SEMG) hand motion classification application in terms of real time delay and classification accuracy. For hand motion to be differentiated, SEMG data goes...

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Bibliographic Details
Main Authors: Ahmad Nadzri, Ahmad Akmal, Mohd Zaini, Mohd Hanif, Ahmad, Siti Anom, Marhaban, Mohammad Hamiruce, Jaafar, Haslina, Md. Ali, Sawal Hamid
Format: Article
Language:English
Published: American Scientific Publishers 2014
Online Access:http://psasir.upm.edu.my/id/eprint/35538/1/Surface%20electromyography%20hand%20motion%20classification%20using%20time%20domain%20features%20and%20artificial%20neural%20network%20for%20real%20time%20application.pdf

Internet

http://psasir.upm.edu.my/id/eprint/35538/1/Surface%20electromyography%20hand%20motion%20classification%20using%20time%20domain%20features%20and%20artificial%20neural%20network%20for%20real%20time%20application.pdf

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