A Deep Learning Architecture for Egocentric Time-to-Saccade Prediction using Weibull Mixture-Models and Historic Priors-Reference-Cited by-同舟云学术

A Deep Learning Architecture for Egocentric Time-to-Saccade Prediction using Weibull Mixture-Models and Historic Priors

Published:2023-05-30 Issue: Volume: Page:
ISSN:
Container-title:2023 Symposium on Eye Tracking Research and Applications
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Author:

Rolff Tim¹^ORCID,Schmidt Susanne²^ORCID,Steinicke Frank³^ORCID,Frintrop Simone⁴^ORCID

Affiliation:

1. Computer Vision & Human Computer Interaction, Universität Hamburg, Germany

2. Human Computer Interaction, Universität Hamburg, Germany

3. Human-Computer Interaction, Universität Hamburg, Germany

4. Computer Vision, Universität Hamburg, Germany

Publisher

ACM

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3. Saccade landing position prediction for gaze-contingent rendering

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5. A Terry Bahill , Michael R Clark , and Lawrence Stark . 1975. The main sequence, a tool for studying human eye movements. Mathematical biosciences 24, 3-4 ( 1975 ), 191–204. A Terry Bahill, Michael R Clark, and Lawrence Stark. 1975. The main sequence, a tool for studying human eye movements. Mathematical biosciences 24, 3-4 (1975), 191–204.