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Rehabilitation devices are increasingly being used to improve the quality of the life of differentially-abled persons. Human Machine Interface (HMI) has been extensively studied to control electromechanical rehabilitation aids using biosignals. Electroocculogram (EOG) signal is one of the most commonly studied signals due to the occurrence of definite signal patterns. Even the persons suffering from extremely limited peripheral mobility conditions (e.g. paraplegia or quadriplegia) have the ability to coordinate eye movements. The current project focuses on the development of an EOG based control system for driving a prototype wheelchair model. As a part of this work, an EOG signal acquisition system was developed. The acquired EOG signal was then processed to generate control signals (depending on the amplitude and duration of signals) for the movement of the wheelchair model.

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Electromyogram (EMG) -controlled devices are being explored for controlling the functioning of the rehabilitation devices. The main advantage of these devices is the hands-free operation with minimal need for assistance. The present study delineates the development of a wireless EMG control system. The proposed control system was tested using a miniaturized wheelchair model. The proposed control system eliminates the presently implemented complex wired control system. The developed control system may also be used for operating other rehabilitation aids (e.g. robotic arm).

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