Almost all eye-movement researchers use algorithms to parse raw data and detect distinct
types of eye movement events, such as fixations, saccades, and pursuit, and then base their …

This chapter has two main aims. The first is to introduce readers to the range of eye tracking
technologies currently available, and describe the basic principles on which they operate …

Eye movements hold information about human perception, intention, and cognitive state.
Various algorithms have been proposed to identify and distinguish eye movements …

Human fixational eye movements are so small and precise that high-speed, accurate tools
are needed to fully reveal their properties and functional roles. Where the fixated image …

Most modern video eye trackers use the p-CR (pupil minus CR) technique to deal with small
relative movements between the eye tracker camera and the eye. We question whether the …

While it is known that scleral search coils—measuring the rotation of the eye globe—and
modern, video based eye trackers—tracking the center of the pupil and the corneal reflection …

Eye movements hold information about human perception, intention and cognitive state.
Various algorithms have been proposed to identify and distinguish eye movements …

The tremendous increase in the use of video-based eye tracking has made it possible to
collect eye tracking data from thousands of participants. The traditional procedures for the …

Virtual environments (VE) allow testing complex behaviors in naturalistic settings by
combining highly controlled visual stimuli with spatial navigation and other cognitive tasks …

Background In the analysis of combined ET-EEG data, there are several issues with
estimating FRPs by averaging. Neural responses associated with fixations will likely overlap …