FreeGaze: a gaze tracking system for everyday gaze interaction
ETRA '02 Proceedings of the 2002 symposium on Eye tracking research & applications
An Incremental Learning Method for Unconstrained Gaze Estimation
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part III
Eye gaze tracking techniques for interactive applications
Computer Vision and Image Understanding - Special issue on eye detection and tracking
In the Eye of the Beholder: A Survey of Models for Eyes and Gaze
IEEE Transactions on Pattern Analysis and Machine Intelligence
IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication
IEEE Transactions on Image Processing
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Gaze is a very important modality in Human-computer Interaction (HCI). Sufficient gaze data is one of the vital foundations for automatic gaze tracking. In this paper, we propose a method to collect automatic labelled gaze data with the off-the-shelf devices. We use motion trackers to locate head pose and gaze orientation. The observed cursor on a calibrated screen moves with the pre-defined patterns. The captured sequences are then automatic labelled. The expanding database has 23676 samples of twelve persons. Our method is simple and reliable, and our system can be set up at any condition with the off-the-shelf devices. The ground truth data is useful for further research on gaze and head pose.