• Deepmala Kurrey
• Rahul Gedam

This result paper includes the electronic wheelchair that is implemented for the disabled person who cannot walk. Our system implemented eye ball controlled wheelchair is to eliminate the assistance required for the disabled person. In this system we are controlling the wheelchair by eye movements and central switch. A good resolution camera is mounted on wheelchair in front of the person, for capturing the image of eye and tracking the position of eye pupil by using any image processing techniques using Matlab platform. According to eye pupil position of disabled person, motor will be moved in required direction such as left, right, backward and forward with the help of Arduino. We are also using Ultrasonic sensor. It is mounted in front of wheelchair for safety to detect static obstacle or mobile barriers and to stop the wheelchair movement automatically. A central button switch is also mounted on wheelchair handle for emergency purpose and to stop movement in require direction if any one call to stop and someone require attention on themselves. This is independent and cost effective wheelchair system. An Arduino board is used to control whole system.

Arduino, Computer vision library, Image Processing, Matlab, Eye gauge, Arduino

"An Implementation on Eye ball detection based Wheelchair Control Using Matlab and Arduino Platform for a Physically Disabled Person ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 12, page no.127-131, December-2017, Available :http://www.jetir.org/papers/JETIR1712026.pdf

"An Implementation on Eye ball detection based Wheelchair Control Using Matlab and Arduino Platform for a Physically Disabled Person ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 12, page no. pp127-131, December-2017, Available at : http://www.jetir.org/papers/JETIR1712026.pdf