Detection of fixations and smooth pursuit movements in high-speed eye-tracking data

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Bibtex

@article{6587326f96da4b17a27959bb4656c873,
title = "Detection of fixations and smooth pursuit movements in high-speed eye-tracking data",
abstract = "A novel algorithm for the detection of fixations and smooth pursuit movements in high-speed eye-tracking data is proposed, which uses a three-stage procedure to divide the intersaccadic intervals intoa sequence of fixation and smooth pursuit events. The first stage performs a preliminary segmentationwhile the latter two stages evaluate the characteristics of each such segment and reorganize the pre-liminary segments into fixations and smooth pursuit events. Five different performance measures arecalculated to investigate different aspects of the algorithm’s behavior. The algorithm is compared to thecurrent state-of-the-art (I-VDT and the algorithm in [11]), as well as to annotations by two experts. Theproposed algorithm performs considerably better (average Cohen’s kappa 0.42) than the I-VDT algorithm(average Cohen’s kappa 0.20) and the algorithm in [11] (average Cohen’s kappa 0.16), when comparedto the experts’ annotations.",
keywords = "smooth pursuit, eye-tracking, Signal processing",
author = "Linn{\'e}a Larsson and Marcus Nystr{\"o}m and Richard Andersson and Martin Stridh",
year = "2015",
doi = "10.1016/j.bspc.2014.12.008",
language = "English",
volume = "18",
pages = "145--152",
journal = "Biomedical Signal Processing and Control",
issn = "1746-8094",
publisher = "Elsevier",

}