Design of an Autonomous Mobile Wheel Chair for Disabled Using Electrooculogram (EOG) Signals
This paper discusses the implementation of a simple, effective and low cost design of a microcontroller based wheelchair using the EOG signal collected from muscles those are responsible for the movement of the human eye. This was an exploratory research that was carried out to allow a disabled person to control the wheelchair by using only the movement of his eyes. Electrooculography (EOG) is a technique for sensing and recording the activation signal of the muscles and was used to collect and evaluate the myoelectric signal generated by the eye muscles during different movements. The main purpose of the work is to design a cost-effective, easily affordable and accessible wheel chair for the disabled general masses where advanced attachments like on board computer, digital cameras, sophisticated sensors etc. are not being used, rather concentration has been paid on designing a more simple, practical but effective system using an electronically controlled differential drive structure with only two wheels. A low cost microcontroller (ATMEGA 32) serves as the brain of the system for all types of control purposes.
KeywordsHuman Machine Interface Myoelectric Signal Wheel Chair Extra Ocular Muscle Wheelchair Control
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