Cargando…
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...
| Autores principales: | , , |
|---|---|
| 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 |