  Spinal cord injuries can often lead to quadriplegia in patients limiting
their mobility. Wheelchairs could be a good proposition for patients, but most
of them operate either manually or with the help of electric motors operated
with a joystick. This, however, requires the use of hands, making it unsuitable
for quadriplegic patients. Controlling eye movement, on the other hand, is
retained even by people who undergo brain injury. Monitoring the movements in
the 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 into
meaningful signals by trying to control a bot that imitates a wheelchair. The
overall system is cost-effective and uses simple image processing and pattern
recognition to control the bot. An android application is developed, which
could be used by the patients' aid for more refined control of the wheelchair
in the actual scenario.
