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

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 fixat...

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Detalles Bibliográficos
Autores principales: Vadillo, Miguel A., Street, Chris N. H., Beesley, Tom, Shanks, David R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636520/
https://www.ncbi.nlm.nih.gov/pubmed/25552423
http://dx.doi.org/10.3758/s13428-014-0544-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636520/
https://www.ncbi.nlm.nih.gov/pubmed/25552423
http://dx.doi.org/10.3758/s13428-014-0544-1

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