Finding an Efficient Threshold for Fixation Detection in Eye Gaze Tracking
نویسندگان
چکیده
We propose a combined analytical/statistical method to determine an efficient threshold on the dispersion of estimates of the point of gaze (POG) to indicate a user fixation. The experimental data for this study was obtained with an EyeTech TM3 eye gaze tracker (EGT). The experimental protocol to make the user fixate on pre-determined visual targets was implemented using the C language and OpenCV. Subjects first used the system in a training mode, from which an individualized dispersion threshold was obtained. Our approach was verified by applying the individualized threshold to POG data from a second run, in testing mode, with encouraging results.
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