Eye tracking system based cursor control

Abstract

Large numbers of input devices are available for human interaction with modern computer systems which are operated by hands and a few of them through gestures made using fingers and body movements. The advancements in assistive technology have proposed many concepts for controlling the input and mouse movements by detecting the basic eye movements of a user with the help of the eye tracking systems. We place our focus on the implementation of the computer mouse which is designed to detect the relative position of the cornea with respect to the initially calibrated center and calculate the attributes like angle and speed at which the movement of mouse cursor has to be initiated. The basic Hough man circle detection algorithm is used to process the incoming video frames to detect the cornea which lies in the center of the pupil and the position of the cornea is compared with respect to the calibrated center point with the help of a square grid on which an algorithm is applied to calculate the speed and angle at which the mouse should move with respect to x axis. An innovative method of accessing a computer completely hands-free, is what we intend to present in this paper. The computer shall now be accessible and easily maneuvered through, using merely one’s eyes. The paper attempts to present a hands-free method of computer control by adjusting to the individual’s pupil movement, simulating the same onto the cursor, and taking inputs that would otherwise be given by a mouse or keyboard that need hands to access. Indeed, one shall not only control a mouse using his eyes, but also access the complete input methodology.