A REVIEW ON EEG CONTROL SMART WHEEL CHAIR

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Published: Dec 20, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i9.5067
Keywords:
Brain Computer Interface, feature extraction, classification, performance evaluation, EEG control wheel chair

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Yumlembam Rahul
School of Technology,Assam Don Bosco University
Rupam Kumar Sharma
Nissi Paul

Abstract

People who are impaired from motor movement due to certain diseases like strokes, Multiple sclerosis etc. face constant challenges to move or need constant attention from an assistant to move. In this paper we review different approaches of controlling wheel chair by reading EEG signal from the brain of the subject using a brain control interface. The paper review general technique that is used to translate EEG signal into command for controlling movement of a wheel chair. We also discuss current problems and future research direction in this field.

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Vol. 8 No. 9 (2017): NOVEMBER-DECEMBER 2017
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Articles

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