Gaze Probing: Event-Based Estimation of Objects Being Focused On

We propose a novel method to estimate the object that a user is focusing on by using the synchronization between the movements of objects and a user´s eyes as a cue. We first design an event as a characteristic motion pattern, and we then embed it within the movement of each object. Since the user´s ocular reactions to these events are easily detected using a passive camera-based eye tracker, we can successfully estimate the object that the user is focusing on as the one whose movement is most synchronized with the user´s eye reaction. Experimental results obtained from the application of this system to dynamic content (consisting of scrolling images) demonstrate the effectiveness of the proposed method over existing methods.