A non-intrusive method for user focus of attention estimation in front of a computer monitor
In this work, we present a system that estimates a user's focus of attention in front of a computer screen, using a Web camera, based on detection and tracking of the user's head position and eye movements. Utilizing machine learning concepts, the system gives real time feedback on the user's attention, by combining information coming from eye gaze, head pose, and distance from the screen. The system is completely un-intrusive and no special hardware (such as infrared cameras or wearable devices) is needed. Furthermore, it adjusts to every user, not necessitating initial calibration, and can work under real and unconstrained conditions in terms of lighting.