The use of eye movements in human-computer interaction techniques: what you look at is what you get
ACM Transactions on Information Systems (TOIS) - Special issue on computer—human interaction
A free-head, simple calibration, gaze tracking system that enables gaze-based interaction
Proceedings of the 2004 symposium on Eye tracking research & applications
One-point calibration gaze tracking method
Proceedings of the 2006 symposium on Eye tracking research & applications
Eye Tracking Methodology: Theory and Practice
Eye Tracking Methodology: Theory and Practice
Models for gaze tracking systems
Journal on Image and Video Processing
Development of a skill acquisition support system using expert's eye movement
Proceedings of the 2007 conference on Human interface: Part II
A novel approach to 3-D gaze tracking using stereo cameras
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Calibration-free gaze tracking using a binocular 3D eye model
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Development of eye-tracking pen display based on stereo bright pupil technique
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Listing's and Donders' laws and the estimation of the point-of-gaze
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Augmenting the robustness of cross-ratio gaze tracking methods to head movement
Proceedings of the Symposium on Eye Tracking Research and Applications
Improving Head Movement Tolerance of Cross-Ratio Based Eye Trackers
International Journal of Computer Vision
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This paper presents a one-point calibration gaze tracking method based on eyeball kinematics using stereo cameras. By using two cameras and two light sources, the optic axis of the eye can be estimated. One-point calibration is required to estimate the angle of the visual axis from the optic axis. The eyeball rotates with optic and visual axes based on the eyeball kinematics (Listing's law). Therefore, we introduced eyeball kinematics to the one-point calibration process in order to properly estimate the visual axis. The prototype system was developed and it was found that the accuracy was under 1° around the center and bottom of the display.