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...
Saved in:
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hand movements classification for myoelectric control system using adaptive resonance theory
by: Fariman, Hessam Jahani, et al.
Published: (2016) -
Adaptive resonance theory-based hand movement classification for myoelectric control system
by: Fariman, Hessam Jahani
Published: (2014) -
UPM prosthetic hand system design - preliminary results
by: Mohd Zaini, Mohd Hanif, et al.
Published: (2011) -
Feature decision-making ant colony optimization system for an automated recognition of plant species
by: Ghasab, Mohammad Ali Jan, et al.
Published: (2015) -
Development of vibrotactile sensory feedback for prosthetic hand user
by: Mohamad Hanif, Noor Hazrin Hany, et al.
Published: (2014)