Analysis of different EOG-based eye movement strength levels for wheelchair control

摘要

This paper is aimed to analyse different levels of eye movement signals strength using Electrooculography (EOG). The eye movement is a potential communication tool for a tetraplegia, which is defined as a paralysis that is caused by serious injuries or illness to a human that lead to a partial or total loss of their lower limb and torso. The signal from the eye muscles that is called electrooculogram is generated at different eye movements' directions and levels using g.USBamp from G.TEC Medical Engineering by using Ag/AgCl electrodes. Different directions and strength levels of eye movement are fed to Matlab-Simulink environment that was integrated with a virtual wheelchair model to study the effect of the EOG signals on the distance and rotation travelled by the wheelchair. Simulation results show that the EOG signals with different strengths acquired can be used as a reference input for wheelchair control.