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A simple algorithm for the offline recalibration of eye-tracking data through best-fitting linear transformation

Vadillo, MA; Street, CN; Beesley, T; Shanks, DR; (2015) A simple algorithm for the offline recalibration of eye-tracking data through best-fitting linear transformation. Behavior Research Methods , 47 (4) pp. 1365-1376. 10.3758/s13428-014-0544-1. Green open access

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Abstract

Poor calibration and inaccurate drift correction can pose severe problems for eye-tracking experiments requiring high levels of accuracy and precision. We describe an algorithm for the offline correction of eye-tracking data. The algorithm conducts a linear transformation of the coordinates of fixations that minimizes the distance between each fixation and its closest stimulus. A simple implementation in MATLAB is also presented. We explore the performance of the correction algorithm under several conditions using simulated and real data, and show that it is particularly likely to improve data quality when many fixations are included in the fitting process.

Type: Article
Title: A simple algorithm for the offline recalibration of eye-tracking data through best-fitting linear transformation
Open access status: An open access version is available from UCL Discovery
DOI: 10.3758/s13428-014-0544-1
Publisher version: http://dx.doi.org/10.3758/s13428-014-0544-1
Language: English
Additional information: © The Author(s) 2014. This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
Keywords: Drift correction, Eye-tracking, Recalibration
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Experimental Psychology
URI: https://discovery.ucl.ac.uk/id/eprint/1460470
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