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Fixation identification in centroid versus start-point modes using eye-tracking data
KTH, School of Technology and Health (STH), Medical Engineering.
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2008 (English)In: Perceptual and Motor Skills, ISSN 0031-5125, E-ISSN 1558-688X, Vol. 106, no 3, 710-724 p.Article in journal (Refereed) Published
Abstract [en]

Fixation-identification algorithms, needed for analyses of eye movements, may typically be separated into three categories, viz. (i) velocity-based algorithms, (ii) area-based algorithms, and (iii) dispersion-based algorithms. Dispersion-based algorithms are commonly used but this application introduces some difficulties, one being optimization. Basically, there are two modes to reach this goal of optimization, viz., the start-point mode and the centroid mode. The aim of the present study was to compare and evaluate these two dispersion-based algorithms. Manual inspections were made of 1,400 fixations in each mode. Odds ratios showed that by using the centroid mode for fixation detection, a valid fixation is 2.86 times more likely to be identified than by using the start-point mode. Moreover, the algorithm based on centroid mode dispersion showed a good interpretation speed, accuracy, robustness, and ease of implementation, as well as adequate parameter settings.

Place, publisher, year, edition, pages
2008. Vol. 106, no 3, 710-724 p.
National Category
Psychology Medical Laboratory and Measurements Technologies
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URN: urn:nbn:se:kth:diva-33267DOI: 10.2466/PMS.106.3.710-724ISI: 000258176300007OAI: oai:DiVA.org:kth-33267DiVA: diva2:414638
Note
QC 20110504Available from: 2011-05-04 Created: 2011-05-02 Last updated: 2017-12-11Bibliographically approved

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Larsson, Matilda

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