Saccade Landing Point Prediction Based on Fine-Grained Learning Method

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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Bibliographic Details
Main Authors: Aythami Morales, Francisco M. Costela, Russell L. Woods
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Saccade
eye movement
gaze-contingent
recurrent neural networks
LSTM
fine-grained learning
Online Access:https://ieeexplore.ieee.org/document/9393335/

Internet

https://ieeexplore.ieee.org/document/9393335/

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