A Neural Network For 3d Gaze Recording With Binocular Eye Trackers

tracking; neural network; 3D calibration; anaglyphs Int. J. Parallel, Emergent and Distributed Systems ISSN 1744-5760 print/ ISSN 1744-5779 online c #2005 Taylor & Francis Ltd http://www.tandf.co.uk/journals DOI: 10.1080/1744-5760xxxxxxxxxxxxx 1 Introduction In their endeavour to understand the mechanisms that underlie cognitive function, researchers recently made considerable progress, in particular with regard to the human visual system. A significant contribution to this success was made by the analysis of human eye movements (for a review see [1]). One of the most prominent experimental paradigms to investigate biological vision is visual search. In a typical visual search task, subjects have to decide whether a search display, i.e., a set of search items, contains a designated target. Recent visual search studies successfully employed eye-movement recording to gain a new level of insight into visual processing with regard to visual attention, object recognition, text comp