Paper Title
Analysis and Study on Wheel Chair Automation

Abstract
A wheelchair is commonly found to be used by elderly people. However, due to unforeseeable circumstances that occur in one’s lifetime such as accidents and falls, one might lose the functionality of hands or legs compromising the nervous system, thus leading to paralysis. Paralysis that causes immobility of just hands or legs or just one side of the body can be managed by modern-day wheelchairs that use other functioning body parts to control the wheelchair. Wheelchair with a joystick mounted on it can support people with diplegia, hemiplegia, monoplegia, and paraplegia whereas, quadriplegia which causes people with little or no movement from down the neck, is currently the focus for improvement in designs for wheelchairs. There is an emerging need in designing a wheelchair to aid the quadriplegic and physically disabled. State-ofthe- art innovations in wheelchairs include eye gaze, eye blink, eye movement, tongue motion, head movement, facial expressions, and brain-controlled systems like Electroencephalography (EEG), Electromyography (EMG), and Electrooculography (EOG). The traditional manual assistance methods are being replaced by these innovative systems to further improve the lifestyle of physically challenged people. In, this paper we aim to discuss various research ideas to create an intelligent wheelchair control system by eye movements for automated mobility to alleviate the sufferings of the disabled. Keywords - Brain-Controlled Systems, EEG, Quadriplegia, Eye-Controlled Wheelchair