The applicability of probabilistic methods to the online recognition of fixations and saccades in dynamic scenes
Enkelejda Kasneci, Gjergji Kasneci, Thomas Kübler, Wolfgang Rosenstiel · 2014
In many applications involving scanpath analysis, especially when dynamic scenes are viewed, consecutive fixations and saccades, have to be identified and extracted from raw eye-tracking data in an online fashion. Since probabilistic methods can adapt not only to the individual viewing behavior, but also to changes in the scene, they are best suited for such tasks.