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Deep-SAGA: a deep-learning-based system for automatic gaze annotation from eye-tracking data

With continued advancements in portable eye-tracker technology liberating experimenters from the restraints of artificial laboratory designs, research can now collect gaze data from real-world, natural navigation. However, the field lacks a robust method for achieving this, as past approaches relied...

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Detalles Bibliográficos
Autores principales: Deane, Oliver, Toth, Eszter, Yeo, Sang-Hoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10126076/
https://www.ncbi.nlm.nih.gov/pubmed/35650384
http://dx.doi.org/10.3758/s13428-022-01833-4