Bookcover of Identification and Decoding of EMG Signal Using SVM Classifier
Booktitle:

Identification and Decoding of EMG Signal Using SVM Classifier

LAP LAMBERT Academic Publishing (2015-01-15 )

Books loader

Omni badge eligible for voucher
ISBN-13:

978-3-659-67114-2

ISBN-10:
3659671142
EAN:
9783659671142
Book language:
English
Blurb/Shorttext:
The electromyography (EMG) signal is a bioelectrical signal, generated in muscles during voluntary or involuntary muscle activities. The muscle activities such as contraction or relaxation are always controlled by the nervous system. A fundamental component of many modern prostheses is the myoelectric control system, which uses the Electromyogram (EMG) signals from an individual’s muscles to control the prosthesis movements.The main contribution of this paper is an investigation into accurately discriminating between individual and combined fingers movements using surface EMG signals, so that different finger postures of a prosthetic hand can be controlled in response. For this purpose, two EMG electrodes located on the human forearm are utilized to collect the EMG datafrom ten participants. Various feature sets are extracted by the sum of absolute value for each window and projected in a manner that ensures maximum separation between the finger movements and then fed to SVM classifiers. In this work 71.11% and 62.22% accuracy are achieved for five and ten classes of finger movements respectively.
Publishing house:
LAP LAMBERT Academic Publishing
Website:
https://www.lap-publishing.com/
By (author) :
Md. Johirul Islam, Md. Rezaul Islam, Shaikh Khaled Mostaque
Number of pages:
132
Published at:
2015-01-15
Stock:
Available
Category:
Electronics, electro-technology, communications technology
Price:
61.90 €
Keywords:
signal processing

Books loader

Newsletter

Adyen::diners Adyen::jcb Adyen::discover Adyen::amex Adyen::mc Adyen::visa Adyen::cup Adyen::unionpay Adyen::paypal Paypal CryptoWallet Wire Transfer

  0 products in the shopping cart
Edit cart
Loading frontend
LOADING