Abstract
The paper presents the algorithm supporting an implicit calibration of eye movement recordings. The algorithm does not require any explicit cooperation from users, yet it uses only information about a stimulus and an uncalibrated eye tracker output. On the basis of this data, probable fixation locations are calculated at first. Such a fixation set is used as an input to the genetic algorithm which task is to choose the most probable targets. Both information can serve to calibrate an eye tracker. The main advantage of the algorithm is that it is general enough to be used for almost any stimulation. It was confirmed by results obtained for a very dynamic stimulation which was a shooting game. Using the calibration function built by the algorithm it was possible to predict where a user will click with a mouse. The accuracy of the prediction was about 75%.
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