SMART Wheelchair by using EMG & EOG

Nitin Laxman Ahire


This paper presents a eye pupil control system for an supply powered wheelchair, based on EMG (Electromyography) signals recorded from eye pupil and muscle voltage levels. One-dimensional continuous EMG signals are obtained, amplified, filtered and translated with 32-bit microcontroller into number of control commands like forward, backward, left, right, for the wheelchair that supports multi-directional control and EOG signals detected from eye pupils are used to adjust rotation or speed of the motor. The system works under switching basis to choose either control state or non-control state so that a user are easily do any muscle activity related to eye within non control state. The proposed system is reliable, easy to set up, easy to use and less costly as compared to earlier systems

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