Improving the accuracy of video-based eye tracking in real time through post-calibration regression

Abstract

Lack of accuracy in eye-tracking data can be critical. If the point of gaze is not recorded accurately, the information obtained or action executed might be different from what was intended. Depending on the system, researchers often have to be content with accuracies in the range of 1-2° while operator experience and participant characteristics also have a significant effect on accuracy.