Talk · International Conference on Computing Methodologies and Communication · March 1, 2019
Low Cost Eye Gaze Tracker Using Web Camera
Machunoori Mounica, M. Manvita, C. Jyotsna, J. Amudha
Abstract
The traditional gaze tracking systems are of invasive, expensive or not of a standard hardware. To address this problem, research has been focused onto systems with simple hardware with gaze tracking systems. We propose a system which uses web camera and the free open source Computer Vision Library Open CV. Gaze estimation plays a major role in predicting human attention and understanding human activities. It is also used in market analysis, gaze driven interactive displays, medical research, usability research, packaging research, gaming research, psychology research, and other human-machine interfaces. This paper describes how to develop a low cost eye gaze system using a simple web camera. The system captures real time video of the person to detect the eyes in the initial frames and extract the features of eyes. Once the features are extracted, the eyes are tracked in the subsequent frames and the gaze direction is estimated using the computational intelligence techniques.
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