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Algorithms for the automated correction of vertical drift in eye-tracking data

A common problem in eye-tracking research is vertical drift—the progressive displacement of fixation registrations on the vertical axis that results from a gradual loss of eye-tracker calibration over time. This is particularly problematic in experiments that involve the reading of multiline passage...

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Detalles Bibliográficos
Autores principales: Carr, Jon W., Pescuma, Valentina N., Furlan, Michele, Ktori, Maria, Crepaldi, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863743/
https://www.ncbi.nlm.nih.gov/pubmed/34159510
http://dx.doi.org/10.3758/s13428-021-01554-0