Simple and computationally efficient movement classification approach for EMG-controlled prosthetic hand: ANFIS vs. artificial neural network

• Main Authors: Fariman, Hessam Jahani, Ahmad, Siti Anom, Marhaban, Mohammad Hamiruce, Ghasab, Mohammad Ali Jan, Chappell, Paul H.
• Format: Article
• Language: English
• Published: Taylor & Francis 2015
• Online Access: http://psasir.upm.edu.my/id/eprint/56579/1/Simple%20and%20computationally%20efficient%20movement%20classification%20approach%20for%20EMG-controlled%20prosthetic%20hand%20ANFIS%20vs.%20artificial%20neural%20network.pdf; http://psasir.upm.edu.my/id/eprint/56579/; http://www.tandfonline.com/doi/abs/10.1080/10798587.2015.1008735

The aim of this paper is to propose an exploratory study on simple, accurate and computationally efficient movement classification technique for prosthetic hand application. The surface myoelectric signals were acquired from 2 muscles—Flexor Carpi Ulnaris and Extensor Carpi Radialis of 4 normal-limb...