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WIRELESS GESTURE CONTROLLED WHEEL CHAIR USING IMAGE PROCESSING
ChaitrashreeV, Vivechana M. S, Anindita Das, Shewtha N. S, Shilpashree P. S.

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-7, pp.14-20, Jul 2017
DPI :-> 16.10046.IJCESR.2017.V4I7.1420.1836



Abstract
The differently abled and elderly people who are in need of a wheel chair are estimated to be over 100 million worldwide. The idea is to develop a gesture controlled wheel chair which can be navigated using hand gestures. The hand gestures are processed using Image processing algorithm which navigates the wheel chair to the desired destination. The hand gestures are captured using a camera mounted on the wheel chair. The gestures are processed in raspberry pi using Open CV platform. The gestures are then recognized and the DC motors which drive the wheel chair are controlled based on the gesture. By detecting the gesture, it is possible to move the wheel chair in specific direction such as forward, backward, left, right and halt. The proposed system works according to the user input i.e., if any two fingers are detected, the wheel chair will move towards forward direction. Similarly, the detection of any three fingers makes the wheel chair to move in backward direction. Wheel chair will move towards left, if any four fingers are detected. If any five fingers are detected, the wheel chair will move towards right direction and the wheel chair will stop, if no finger gestures are detected.

Key-Words / Index Term
Electroencephalograph (EEG), Convex hull, Raspberry Pi, Region of Interest (ROI).

How to cite this article
ChaitrashreeV, Vivechana M. S, Anindita Das, Shewtha N. S, Shilpashree P. S. , “WIRELESS GESTURE CONTROLLED WHEEL CHAIR USING IMAGE PROCESSING”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-7, pp.14-20, Jul 2017. DPI:16.10046.IJCESR.V4.I7.1836