Ego-motion compensation improves fixation detection in wearable eye tracking

Authors:
Thomas Kinsman;Karen Evans;Glenn Sweeney;Tommy Keane;Jeff Pelz
Affiliations:
Multidisciplinary Vision Research Lab, Rochester Institute of Technology, Rochester, NY;Multidisciplinary Vision Research Lab, Rochester Institute of Technology, Rochester, NY;Multidisciplinary Vision Research Lab, Rochester Institute of Technology, Rochester, NY;Multidisciplinary Vision Research Lab, Rochester Institute of Technology, Rochester, NY;Multidisciplinary Vision Research Lab, Rochester Institute of Technology, Rochester, NY
Venue:
Proceedings of the Symposium on Eye Tracking Research and Applications
Year:
2012

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Abstract

The objective is an efficient means to improve the accuracy of detected fixations. The context is studies of natural behavior of subjects wearing eye trackers while observing distant objects. Fixation detection algorithms try to determine when the image on the retina is stable. Previous algorithms for wearable eye trackers consider only eye-in-head motion. In the presence of the vestibular-ocular response (VOR), however, the motion of the head counteracts eye-in-head rotation. Compensating for this ego-motion increases the number of detected fixations for all subjects. This compensation significantly affects the number and size of the fixations detected, more accurately reflecting mobile observers' natural gaze behavior.