Correcting video-based eye tracking signals for pupil size artifacts
نویسندگان
چکیده
منابع مشابه
Using Pupil Size as a Measure of Cognitive Workload in Video-Based Eye-Tracking Studies
175 words Text (excluding references and figure captions): 5526 References: 19 entries Figures: 9 Tables: 0 Abstract Pupil size is known to quickly adapt to changes in the luminance within the visual field and the observer’s cognitive workload while performing a visual task. Pupil size is rarely analyzed in eye-movement studies although it is measured by most video-based eyetracking systems. Th...
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A video-based eye-tracker (e.g., the mobile Eyelink II or Eyelink Remote of SR research, Osgoode, Ontario, Canada) uses video cameras to record the eye position of human subjects, and hence, record pupil dilation and eye movements. The eyetracker puts a video cameras and infrared illuminators in front of the eye to record the position of the eye, cornea reflections, and the size of the pupil. U...
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Video-based eye tracking is a valuable technique in various research fields. Numerous open-source eye tracking algorithms have been developed in recent years, primarily designed for general application with many different camera types. These algorithms do not, however, capitalize on the high frame rate of eye tracking cameras often employed in psychophysical studies. We present a pupil detectio...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2014
ISSN: 1534-7362
DOI: 10.1167/14.10.754