An eye tracking dataset for point of gaze detection

Authors:
Christopher D. McMurrough;Vangelis Metsis;Jonathan Rich;Fillia Makedon
Affiliations:
The University of Texas at Arlington;The University of Texas at Arlington;The University of Texas at Arlington;The University of Texas at Arlington
Venue:
Proceedings of the Symposium on Eye Tracking Research and Applications
Year:
2012

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Abstract

This paper presents a new, publicly available eye tracking dataset, aimed to be used as a benchmark for Point of Gaze (PoG) detection algorithms. The dataset consists of a set of videos recording the eye motion of human test subjects as they were looking at, or following, a set of predefined points of interest on a computer visual display unit. The eye motion was recorded using a Mobile Eye, head mounted, infrared monocular camera. The ground truth of the point of gaze and head location and direction in the three dimensional space are provided together with the data. The ground truth regarding the point of gaze at is known in advance since the subjects are always looking at predefined targets, whereas, the head position in 3D is captured using a Vicon Motion Tracking System.