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Identification of fixations in noisy eye movement data via recursive subdivision

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The Problem The noise level in a modern video-based eye-tracker is usually larger than the size of the smallest saccades. Thus, it can be challenging to discriminate small eye movements… Click to show full abstract

The Problem The noise level in a modern video-based eye-tracker is usually larger than the size of the smallest saccades. Thus, it can be challenging to discriminate small eye movements from system noise. Various methods have been proposed, but most require hand-tuning of parameters to achieve good performance. We would like a method that automatically adapts to the statistics of the input signal.

Keywords: eye movement; identification fixations; movement data; noisy eye; fixations noisy; eye

Journal Title: Journal of Vision
Year Published: 2017

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