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Spinal cord injuries can often lead to quadriplegia in patients limitingtheir mobility. Wheelchairs could be a good proposition for patients, but mostof them operate either manually or with the help of electric motors operatedwith a joystick. This, however, requires the use of hands, making it unsuitablefor quadriplegic patients. Controlling eye movement, on the other hand, isretained even by people who undergo brain injury. Monitoring the movements inthe eye can be a helpful tool in generating control signals for the wheelchair.This paper is an approach to converting obtained signals from the eye intomeaningful signals by trying to control a bot that imitates a wheelchair. Theoverall system is cost-effective and uses simple image processing and patternrecognition to control the bot. An android application is developed, whichcould be used by the patients' aid for more refined control of the wheelchairin the actual scenario.

A cost effective eye movement tracker based wheel chair control algorithm for people with paraplegia