Eye Fatigue Detection using Machine Learning and Deep Learning Classifiers

Author:

Syed Ashfaq Ahamad1,Keerthi Hemanth1,Reddy V. H. Prasad1,Bhatta Ch. V. S. A. Eswar1

Affiliation:

1. Velagapudi Ramakrishna Siddhartha Engineering College (JNTUK),Electronics and Communication Engineering,Vijayawada,India

Publisher

IEEE

Reference13 articles.

1. Digital Eye Strain Detection By Applying Deep Learning Technique To Categories Of Images;Sharma;Journal of Survey in Fisheries Sciences,2023

2. Prevalence and risk factors of dry eye disease in North India: Ocular surface disease index-based cross-sectional hospital study

3. A Pragmatic Approach to the Usage of Digital Devices in Education in Developing Countries;Aggarwal;Turkish Journal of Computer and Mathematics Education (TURCOMAN),2021

4. Ascertaining DES (Digital Eye Strain) Symptoms Using Machine Learning Libraries;Saxena;Journal of Pharmaceutical Negative Results,2022

5. CVS Identification through Live streaming using Machine Learning: An Elaborative Framework;Saxena;Turkish Online Journal of Qualitative Inquiry,2021

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