Webcam Based Eye Gaze Tracking Using a Landmark Detector
Atul Sahay, Pradipta Biswas · 2017
This paper proposes a real-time algorithm to detect users' gaze point in a video sequence from a standard web camera. We have shown that landmarks constructed for both eyes can reliably estimate the eyelid opening, which in turn can be used to tell where the user is staring at that particular moment. Further, the knowledge of the eye opening can be combined with the iris displacement from the reference point to predict the user's gaze point. We have reported a user study involving 8 users and we can track one of nine positions on screen within a radius of 11° of visual angle.