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

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

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...

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Bibliographic Details
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

Internet

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

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