Vadillo, Miguel A., Street, Chris N. H., Beesley, Tom and Shanks, David R. (2015) A simple algorithm for the offline recalibration of eye-tracking data through best-fitting linear transformation. Behavior Research Methods. ISSN 1554-3528
Metadata only available from this repository.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.
Item Type: | Article |
---|---|
Subjects: | B Philosophy. Psychology. Religion > BF Psychology |
Schools: | School of Human and Health Sciences |
Related URLs: | |
Depositing User: | Elizabeth Boulton |
Date Deposited: | 15 Sep 2015 14:15 |
Last Modified: | 28 Aug 2021 11:54 |
URI: | http://eprints.hud.ac.uk/id/eprint/25712 |
Downloads
Downloads per month over past year
Repository Staff Only: item control page
![]() |
View Item |