Eye-gaze tracking is an aspect of human-computer interaction still growing in popularity,. Tracking human gaze point can help control user interfaces and may help evaluate graphical user interfaces. At the same time professional eye-trackers are very expensive and thus unavailable for most of user interface researchers and small companies. The paper presents very effective, low cost, computer vision based, interactive eye-gaze tracking method. On contrary to other authors results the method achieves very high precision (about 1.5 deg horizontally and 2.5 deg vertically) at 20 fps performance, exploiting a simple HD web camera with reasonable environment restrictions. The paper describes the algorithms used in the eye-gaze tracking method and results of experimental tests, both static absolute point of interest estimation, and dynamic functional gaze controlled cursor steering.
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