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We present a novel, automatic eye gaze tracking scheme inspired by smoothpursuit eye motion while playing mobile games or watching virtual realitycontents. Our algorithm continuously calibrates an eye tracking system for ahead mounted display. This eliminates the need for an explicit calibration stepand automatically compensates for small movements of the headset with respectto the head. The algorithm finds correspondences between corneal motion andscreen space motion, and uses these to generate Gaussian Process Regressionmodels. A combination of those models provides a continuous mapping fromcorneal position to screen space position. Accuracy is nearly as good asachieved with an explicit calibration step.

A Statistical Approach to Continuous Self-Calibrating Eye Gaze Tracking for Head-Mounted Virtual Reality Systems