Fixation identification in centroid versus start-point modes using eye-tracking data
|dc.identifier.citation||Falkmer, T. and Dahlman, J. and Dukic, T. and Bjällmark, A. and Larsson, M. 2008. Fixation identification in centroid versus start-point modes using eye-tracking data. Perceptual and Motor Skills. 106 (3): pp. 710-724.|
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. © Perceptual and Motor Skills 2008.
|dc.publisher||Ammons Scientific Ltd.|
|dc.title||Fixation identification in centroid versus start-point modes using eye-tracking data|
|dcterms.source.title||Perceptual and Motor Skills|
|curtin.department||School of Occupational Therapy and Social Work|
|curtin.accessStatus||Fulltext not available|
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