Voluntary eye movement controlled electrooculogram based multitasking graphical user interface

An alternative for the physically challenged people to live independently is smart houses with assistive technology. Here an assistive computer aided multitasking graphical user interface (GUI) controlled by eye movements for the disabled individuals, especially for those with severe paralysis, has been presented. Electrooculogram (EOG) signals were acquired for horizontal, vertical eye movements and blinks using Ag/AgCl surface electrodes. After pre-processing, the signals were classified based on their amplitudes to generate control commands to drive a GUI. Finally the application of the GUI is tested with six healthy subjects by performing different icon selection by controlling the mouse pointer with eye movements. The users completed the testing process in a reasonable time and the speed improves with training. For the real-time control of the GUI, the proposed approach yields 95.83% accuracy. The results suggest that the GUI can be used by disabled people with more improved control scheme.