We present a novel analysis to quantify the eye movement from functional magnetic resonance (fMRI) data without the aid of dedicated eye-trackers. We show that by using the parts of the functional image data that contain the motion artefacts of the subject’s eyes and by applying spatial independent component analysis to it, it is possible to detect eye movement and to estimate the point of gaze...

In using eye movements to develop cognitive models, researchers typically analyze eye movement protocols with aggregate measures and test models with respect to these measures. Because aggregate analyses sometimes conceal informative low-level behavior, protocol analyses comparing model predictions to individual trial protocols are frequently desirable; however, protocol analysis for eye moveme...

This article presents an efficient approach to eye movement estimation by combining color and energy based image analysis algorithms. The movement is first analyzed and then described in terms of action units. A temporal state diagram is used to control the behavior of the analysis over the time so the movement of the eye can be synthesized from the former description, after translating them in...

Monitoring eye movements is a critical aspect of experimental design for studies of spatial attention and visual perception. However, obtaining online eye-movement recordings has been technologically difficult during functional magnetic resonance (MR) imaging studies. Previous approaches to monitoring eye movements either have distorted the MR images or have shown MR-related interference in the...