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Robust clustering of eye movement recordings for quantification of visual interest
2004
Proceedings of the Eye tracking research & applications symposium on Eye tracking research & applications - ETRA'2004
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Characterizing the location and extent of a viewer's interest, in terms of eye movement recordings, informs a range of investigations in image and scene viewing. We present an automatic data-driven method for accomplishing this, which clusters visual point-of-regard (POR) measurements into gazes and regions-ofinterest using the mean shift procedure. Clusters produced using this method form a structured representation of viewer interest, and at the same time are replicable and not heavily
doi:10.1145/968363.968368
dblp:conf/etra/SantellaD04
fatcat:le7ni7zumzbyhbvibxswmeo2aq