Eye Movement Tracking for Computer Vision Syndrome using Deep Learning Techniques-Reference-Cited by-同舟云学术

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Eye Movement Tracking for Computer Vision Syndrome using Deep Learning Techniques

Published:2024-02-19 Issue: Volume:17 Page:317-322
ISSN:
Container-title:2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
language:
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Author:

Popat Manan¹,Goyal Divyan¹,Raj Vibhum¹,Jayabalan Nirmal²,Hota Chittaranjan¹

Affiliation:

1. BITS Pilani,Department of Computer Science,India

2. BITS Pilani,Department of Pharmacy,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10463165/10463194/10463437.pdf?arnumber=10463437

Reference24 articles.

1. Computer vision syndrome (a.k.a. digital eye strain);Rosenfield;Optometry in Practice,2016

2. Computer Vision Syndrome: An Ophthalmic Pathology of the Modern Era

3. Real-Time Blink Detection as an Indicator of Computer Vision Syndrome in Real-Life Settings: An Exploratory Study

4. Edge based eye-blink detection for computer vision syndrome

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