Research Interests

Eye movements provide an unobtrusive, sensitive, real-time behavioral index of ongoing visual and cognitive processing. This fact has been exploited in many fields of research, from neurocognition to human-computer interfaces. Using statistical model to understand how high and low level features guide our gaze is a seriously underused approach. My research involves

(1) designing and running eye-tracking experiments, and

(2) developing or adapting cross-cutting tools originally used in the computer vision and machine learning community to analyze the recorded eye movements.

 

Keywords: eye-tracking, eye movement analysis, statistical modeling, model inference, assessment and selection, multimodal signal processing, image processing, attention, saliency, face perception.

 

Here, you can find some codes and databases I use in my work.

René Descartes, Traité de l'Homme, 1662