High accuracy model of saccades and microsaccades for analyzing data collected using the ultrafast retinal eye-tracking system
Krystian Wróbel, Maciej M. Bartuzel, Michał Meina, Szymon Tamborski, Joanna Gorgol, Krzysztof Dalasiński, Maciej Nowakowski, Anna Szkulmowska, Maciej Szkulmowski · 2021
The eye motion is broadly considered as a valuable source of information in the fields related to psychology, neuroscience and neurology. Therefore, quantitative characterization of eye tracker data is an important task. Saccades are sigmoidal, ballistic movements that in particular deserve more attention due to their complex shape and natural diversity. We have developed the high accuracy model of saccades and microsaccades of mean absolute error equal to 0.0104 degree on average. We present the methodology for extraction of saccadic features using this model and show the potential of the method in biometric experiments.