Sturmian-Wavelets as a tool to analysis eye tracking data

J. A. DEL PUNTA; G. GASANEO; M. L. FREIJE; ANCARANI L. U.

Wuppertal

Conferencia; 19th European Conference on Eye Movements; 2017

University of Wuppertal

Eye tracking a person while performing a cognitive task allow having an insight of how the brain works. However, the data provided by the eye-tracker contains many features of very different type. First of all there is noise associated to the device itself. On the other hand, the saccadic and micro-saccadic movements add to the data characteristic shapes as the overshoot and the damping [1] associated to the mechanical properties of the eye. In addition, the cognitive information is related to the way the eye perform the movements, the number of saccades, the way of going ahead and back from one place to the other on the scene the person is watching. In this contribution we present a tool that we developed to extract the information based on the use of wavelets. We developed a wavelet transformation where the shape of the waves used contains the physical information corresponding to the physical characteristics of the eye. This allows to treat more efficiently the system and to extract the cognitive information.ReferencesSpecht, J. I., Dimieri, L., Urdapilleta, E. and Gasaneo G.: Minimal dynamical description of eye movements. Eur. Phys. J. B. 90: 25