Solar powered wheelchair for physically challenged people using surface EMG signal
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences . Biomedical Sciences
New york :Ieee
2015 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI)
IEEE Symposium Series Computational Intelligence, DEC 07-10, 2015, Cape Town, SOUTH AFRICA
, p. 833-836
University of Antwerp
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.