Title
Solar powered wheelchair for physically challenged people using surface EMG signal Solar powered wheelchair for physically challenged people using surface EMG signal
Author
Faculty/Department
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences . Biomedical Sciences
Publication type
conferenceObject
Publication
New york :Ieee ,
Subject
Computer. Automation
Source (journal)
2015 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI)
Source (book)
IEEE Symposium Series Computational Intelligence, DEC 07-10, 2015, Cape Town, SOUTH AFRICA
Volume/pages
(2015) , p. 833-836
ISBN
978-1-4799-7560-0
ISI
000380431500115
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
This paper presents the design and implementation of low cost solar powered wheelchair for physically challenged people. The signals necessary to maneuver the wheelchair are acquired from different muscles of the hand using surface Electromyography (sEMG) technique. The raw sEMG signals collected from upper limb muscles are processed, characterized and classified. The direction of movement of wheelchair is extracted from the classified signal. The accuracy of the extracted EMG signals is found to be significantly high. A prototype is developed and tests verified the objective functionalities. The analysis of life cycle cost of the proposed wheelchair showed that the proposed wheelchair is financially feasible for developing countries.
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000380431500115&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000380431500115&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
https://repository.uantwerpen.be/docman/iruaauth/02cb0b/135045.pdf
Handle