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

• 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; http://psasir.upm.edu.my/id/eprint/35538/; http://www.aspbs.com/asem/contents_asem2014.htm#v6n10

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...