A software-based eye tracking system for the study of air-traffic displays

Abstract

This paper describes a software-based system for offline tracking of eye and head movements using stored video images, designed for use in the study of air-traffic displays. These displays are typically dense with information; to address the research questions, we wish to be able to localize gaze within a single word within a line of text (a few minutes of arc), while at the same time allowing some freedom of movement to the subject. Accurate gaze tracking in the presence of head movements requires high precision head tracking, and this was accomplished by registration of images from a forward-looking scene camera with a narrow field of view.