Uncertainty-Aware Gaze Tracking for Assisted Living Environments
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, USA
2. Department of Informatics, Bioengineering, Robotics, and Systems Engineering, University of Genoa, Genoa, Italy
Funder
National Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Graphics and Computer-Aided Design,Software
Link
https://ieeexplore.ieee.org/ielam/83/9991910/10097677-aam.pdf
Reference69 articles.
1. Gaze Estimation for Assisted Living Environments
2. Microsoft COCO: Common Objects in Context
3. Fine segmentation for activity of daily living analysis in a wide-angle multi-camera set-up;dias;Proc 5th Activity Monit Multiple Distrib Sens Workshop (AMMDS) Conjunct Brit Mach Vis Conf,2017
4. Appearance-based gaze estimation in the wild
5. Eye Tracking and Eye-Based Human–Computer Interaction
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