Research Article 2
Asian Journal of Engineering, Sciences and Technology - Volume 6, Issue 1 2016
By Mohtashim Baqar, Azfar Ghani, Azeem Aftab and Shahzad Karim Khawar
Keywords: Handicapped, brain computer interface, electrooculogram, micro-controller

This paper presents advancement towards making an efficient and viable wheel chair control system based on brain computer interface via electro-oculogram (EOG) signals. The system utilizes the movement of eye as the element of purpose for controlling the movement of the wheel chair. Skin-surface electrodes are placed over skin for the purpose of acquiring the electro-oculogram signal and with the help of differential amplifier the bio-potential is measured between the reference and the point of interest, afterwards these obtained low voltage pulses are amplified, then passed through a sallen-key filter for noise removal and smoothening. These pulses are then collected on to the micro-controller; based on these pulses motor is switched to move in either right or left direction. A prototype system was developed and tested. The system showed promising results. The test conducted showed 99.5% efficiency of movement in correct direction.