Solar powered wheel chair for physically challenged people using surface EMG signal

Kaiser, Shamim; Chowdhury, Zamshed I.; Mamun, Shamim; Hussain, Amir; Mahmud, Mufti

Abstract

This paper presents the design of low cost solar powered wheel chair for physically challenged people. The signals necessary to maneuver the wheel chair are acquired from different muscles of the hand using surface Electromyography (sEMG) technique. The raw sEMG signals collected from upper limb muscles are processed to extract the desired direction of movement for the wheel chair. The accuracy of the extracted EMG signals is found to be relatively high. A prototype is developed and tests verified the objective functionalities. The analysis of life cycle cost of the solar powered wheel chair is presented. It is found that the proposed wheel chair is financially feasible for developing countries.

Citation

Kaiser, S., Chowdhury, Z. I., Mamun, S., Hussain, A., & Mahmud, M. (2015, December). Solar powered wheel chair for physically challenged people using surface EMG signal. Presented at 2015 IEEE Symposium Series on Computational Intelligence, Cape Town, South Africa

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2015 IEEE Symposium Series on Computational Intelligence
• Start Date: Dec 7, 2015
• End Date: Dec 10, 2015
• Online Publication Date: Jan 11, 2016
• Publication Date: 2015
• Deposit Date: Sep 27, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 833-836
• Book Title: 2015 IEEE Symposium Series on Computational Intelligence
• ISBN: 978-1-4799-7560-0
• DOI: https://doi.org/10.1109/SSCI.2015.123
• Keywords: electric vehicles, surface electromyography, solar powered vehicles, wheelchairs
• Public URL: http://researchrepository.napier.ac.uk/Output/1792955