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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Scientific Publishers
2014
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| 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 |