Eye gaze estimation from a video

Abstract

International audience

Our work focuses on the interdisciplinary field of detailed analysis<br />of behaviors exhibited by individuals during sessions of distributed<br />collaboration. With a particular focus on ergonomics, we<br />propose new mechanisms to be integrated into existing tools to<br />enable increased productivity in distributed learning and working.<br />Our technique is to record ocular movements (eye tracking) to analyze<br />various scenarios of distributed collaboration in the context<br />of computer-based training. In this article, we present a low-cost<br />oculometric device that is capable of making ocular measurements<br />without interfering with the natural behavior of the subject. We expect<br />that this device could be employed anywhere that a natural,<br />non-intrusive method of observation is required, and its low-cost<br />permits it to be readily integrated into existing popular tools, particularly<br />E-learning campus.