Low-cost head position tracking for gaze point estimation

Authors:
Christopher McMurrough;Jonathan Rich;Vangelis Metsis;An Nguyen;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;The University of Texas at Arlington
Venue:
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Year:
2012

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Abstract

In this paper, we present a low-cost solution for real-time tracking of a human user's head position with respect to a video display source for eye gaze estimation in an assistive setting. The solution utilizes a wearable headset equipped with sensors found in commercially available off-the-shelf video gaming devices in order to minimize hardware complexity and expense. A pair of Nintendo Wiimote imaging sensors are used to create a stereo camera for 6DOF position tracking of the headset, while a modified Playstation Eye monocular camera is used to track the pupil position. The resulting tracking hardware is able to measure the 3D position of four infrared LEDs mounted at known locations on the video display using triangulation of the stereo camera data. Integration of the head tracking estimate with a computer vision based pupil tracking solution in order to compute the user's point of gaze is also described.