A REVIEW ON HUMAN COMPUTER INTERFACE USING EOG

Abstract

Electrooculography Signals are used to control human computer interface, if properly classified .The ability to process and measure the signals will help HCI users to overwhelm many of the physical limitations and incommode in day to day life. However, there are currently no advanced effective multidirectional methods of classification for monitoring eye movements .In this paper, we describe a classification method used in a wireless EOG-based HCI device for detecting eye movements in different directions. The EOG signals are very small in amplitude, which is measure in milivolts. Hence, it helps to capture human signals which controls the computer or other instruments.