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Fixation identification in centroid versus start-point modes using eye-tracking data
Jönköping University, School of Health and Welfare, HHJ, Dep. of Rehabilitation. Jönköping University, School of Health and Welfare, HHJ. Ageing - living conditions and health.
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2008 (English)In: Perceptual and Motor Skills, ISSN 0031-5125, E-ISSN 1558-688X, Vol. 106, no 3, p. 710-724Article 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
Sage Publications, 2008. Vol. 106, no 3, p. 710-724
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Medical and Health Sciences
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URN: urn:nbn:se:hj:diva-5581DOI: 10.2466/PMS.106.3.710-724ISI: 000258176300007PubMedID: 18712192Scopus ID: 2-s2.0-49149109455OAI: oai:DiVA.org:hj-5581DiVA, id: diva2:36401
Available from: 2008-05-15 Created: 2008-05-15 Last updated: 2019-08-30Bibliographically approved

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Falkmer, TorbjörnBjällmark, Anna

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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