Publication
Title
Solar powered wheelchair for physically challenged people using surface EMG signal
Author
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.
Language
English
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
Publication
New york : Ieee, 2015
Volume/pages
(2015), p. 833-836
ISI
000380431500115
Number
978-1-4799-7560-0
Full text (Publishers DOI)
Full text (publishers version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 02.09.2016
Last edited 08.05.2017
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