Webcam Based Eye Gaze Tracking Using a Landmark Detector

Sahay, Atul and Biswas, Pradipta (2017) Webcam Based Eye Gaze Tracking Using a Landmark Detector. In: 10th Annual ACM India Compute Conference, Compute 2017, November 16 - 18, 2017, Bhopal, India, pp. 31-37.

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Abstract

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.

Item Type:	Conference Paper
Publisher:	Association for Computing Machinery
Additional Information:	The Copyright of this article belongs to the Association for Computing Machinery
Keywords:	Eye gaze tracking; Iris localization; Landmark detector; Viola-Jones object detector; Computer applications; Computer programming; Eye gaze tracking; Eye openings; Iris localization; Object detectors; Real time algorithms; Reference points; Video sequences; Visual angle; Eye tracking
Department/Centre:	Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited:	17 Jun 2022 07:09
Last Modified:	17 Jun 2022 07:09
URI:	https://eprints.iisc.ac.in/id/eprint/73487

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