Saccade Landing Point Prediction Based on Fine-Grained Learning Method

The landing point of a saccade defines the new fixation region, the new region of interest. We asked whether it was possible to predict the saccade landing point early in this very fast eye movement. This work proposes a new algorithm based on LSTM networks and a fine-grained loss function for sacca...

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Detalles Bibliográficos
Autores principales: MORALES, AYTHAMI, COSTELA, FRANCISCO M., WOODS, RUSSELL L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112574/
https://www.ncbi.nlm.nih.gov/pubmed/33981520
http://dx.doi.org/10.1109/access.2021.3070511

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112574/
https://www.ncbi.nlm.nih.gov/pubmed/33981520
http://dx.doi.org/10.1109/access.2021.3070511

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