Sturmian Wavelets as a tool to analyze eye-tracking data

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

Wuppertal

Conferencia; European Conference on Eye Movements; 2017

Eye tracking a person who is performing a cognitive task allows one having an insight of how the brain works. However, the data provided by the eye-tracker contains many features of very different type that need to be identified and separated out. First of all there is the inevitable noise associated to the device itself. On the other hand, the saccadic and micro-saccadic movements add to the data characteristic shapes as overshoot and damping Associated to the mechanical properties of the eye. In addition, the cognitive information is related to the way the eye performs the movements, the number of saccades, the way of going back and forth 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 constructed a wavelet transformation in which the shape of the employed waves contains the physical information corresponding to the physical characteristics of the eye. This choice allows us to treat the system and to extract the cognitive information in an efficient way.