FreeGaze: a gaze tracking system for everyday gaze interaction
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
A free-head, simple calibration, gaze tracking system that enables gaze-based interaction
Proceedings of the 2004 symposium on Eye tracking research & applications
A single camera eye-gaze tracking system with free head motion
Proceedings of the 2006 symposium on Eye tracking research & applications
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
A novel non-intrusive eye gaze estimation using cross-ratio under large head motion
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Learning gaze biases with head motion for head pose-free gaze estimation
Image and Vision Computing
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The problem of eye gaze tracking has been researched and developed for a long time. The most difficult problem in the non-intrusive system of eye gaze tracking is the problem of head movements. Some of existing methods have to use two cameras and an active infrared (IR) illumination to solve this problem. Otherwise, with a single camera, the user has to hold the head uncomfortably still when performing a session of eye gaze tracking. If the head of the user moves away from original position, the accuracy of these eye gaze-tracking systems drops dramatically. In this paper, we propose a solution using Gaussian Processes for eye gaze tracking that allows free head movements with a single camera.