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Saccade detection during smooth tracking

► We describe a simple method to detect saccades on a background trace of variable eye velocity. ► We present an ideal-observer analysis to benchmark the detection performance of our algorithm. ► We compare the performance of the saccade-detection algorithm to that of an expert human observer. Sacca...

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Bibliographic Details
Published in:Displays 2013-04, Vol.34 (2), p.171-176
Main Authors: Liston, Dorion B., Krukowski, Anton E., Stone, Leland S.
Format: Article
Language:English
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Summary:► We describe a simple method to detect saccades on a background trace of variable eye velocity. ► We present an ideal-observer analysis to benchmark the detection performance of our algorithm. ► We compare the performance of the saccade-detection algorithm to that of an expert human observer. Saccade detection in an eye-movement trace provides a starting point for analyses ranging from the investigation of low-level oculomotor mechanisms to high-level cognitive processes. When the eye tracks the motion of the object of current interest (smooth pursuit), of the visual background (OKN), or of the resultant visual motion from a head movement (tVOR, rVOR), the smooth tracking movement is generally intermixed with rapid-phase saccadic eye movements, which must be excised to analyze the smooth components of tracking behavior properly. We describe a simple method to detect saccades on a background trace of variable velocity, compare our saccade-detection algorithm with the performance of an expert human observer, and present an ideal-observer analysis to benchmark its detection performance.
ISSN:0141-9382
1872-7387
DOI:10.1016/j.displa.2012.10.002