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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2015
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| Materias: | |
| 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 |