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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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Published in: | Displays 2013-04, Vol.34 (2), p.171-176 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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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. |
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ISSN: | 0141-9382 1872-7387 |
DOI: | 10.1016/j.displa.2012.10.002 |