Online Eye Status Detection in the Wild with Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Online Eye Status Detection in the Wild with Convolutional Neural Networks

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Author:

Anas Essa R.¹,Henriquez Pedro¹,Matuszewski Bogdan J.¹

Affiliation:

1. University of Central Lancashire, United Kingdom

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization of Lacrimal Aspect Ratio for Explainable Eye Blinking;Lecture Notes in Networks and Systems;2024

2. Fusion with EEG signals and Images for closed or open eyes detection using deep learning;2023 IEEE International Conference on Design, Test and Technology of Integrated Systems (DTTIS);2023-11-01

3. BlinkLinMulT: Transformer-Based Eye Blink Detection;Journal of Imaging;2023-09-26

4. CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild;ACM Transactions on Computer-Human Interaction;2023-09-25

5. “Blinks in the Dark”: Blink Estimation With Domain Adversarial Training (BEAT) Network;IEEE Transactions on Consumer Electronics;2023-08

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