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
Eye and gaze tracking for interactive graphic display
Machine Vision and Applications
A non-contact device for tracking gaze in a human computer interface
Computer Vision and Image Understanding - Special issue on eye detection and tracking
Gazetop: interaction techniques for gaze-aware tabletops
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Determining comprehension and quality of TV programs using eye-gaze tracking
Pattern Recognition
Determining comprehension and quality of TV programs using eye-gaze tracking
Pattern Recognition
Noise tolerant selection by gaze-controlled pan and zoom in 3D
Proceedings of the 2008 symposium on Eye tracking research & applications
A software framework for simulating eye trackers
Proceedings of the 2008 symposium on Eye tracking research & applications
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
A non-contact device for tracking gaze in a human computer interface
Computer Vision and Image Understanding - Special issue on eye detection and tracking
User-calibration-free remote gaze estimation system
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
A probabilistic approach for the estimation of angle kappa in infants
Proceedings of the Symposium on Eye Tracking Research and Applications
A single-camera remote eye tracker
PIT'06 Proceedings of the 2006 international tutorial and research conference on Perception and Interactive Technologies
The effect of mapping function on the accuracy of a video-based eye tracker
Proceedings of the 2013 Conference on Eye Tracking South Africa
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We propose a novel method to estimate and track the 3-D line of sight of a person based on 3-D computer vision techniques. Most of the existing non-intrusive gaze tracking methods shares a common drawback: users have to perform certain experiments in calibrating the user-dependent parameters before using the gaze tracking systems. These parameters are functions of the radius of the cornea, the position of the pupil, the position of user's head, etc. Our approach, in contrast, employs multiple cameras and multiple point light sources to estimate the light of sight without using any of the user-dependent parameters. Consequently, the users can avoid the inconvenient calibration process, which may produce possible calibration errors. Computer simulations have been performed to confirm the proposed method.