Computational Models of Ocular Behavior for the Evaluation of Cognitive Performance.

The objective of this project is to develop new models of eye movement tracking that allow evaluating the cognitive processes associated with them, diagnose neurodegenerative diseases early and develop abilities to expand the perceptual range.

The tracking of eye movements (eye tracking) allows to evaluate the information acquired by a person during the reading or observation of an image. Both during the reading and in the observation of an image, the eye makes saccades movements followed by fixations in which the information is acquired to be later interpreted by the brain.

The eyetracker records and records (a) the ocular fixation site from which the information is extracted, and (b) the time the person needs to process the information. This technique is used in many different disciplines related to the evaluation of cognitive processes that develop in a human being.

These processes constitute an important challenge from the point of view of the modeling of the same ones and their study would allow to advance in the knowledge on the efficient handling of the information and the oculomotor control. This knowledge has implications in various areas such as medicine, man-machine interfaces and cognitive systems engineering, among others.