A Machine Intelligence Model to Detect Drowsiness for Preventing Road Accidents-Reference-Cited by-同舟云学术

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A Machine Intelligence Model to Detect Drowsiness for Preventing Road Accidents

Published:2022-05-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
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Author:

Doppala Bhanu Prakash¹,Vamsi Bandi¹,Bhattacharyya Debnath²,Rao J.Nageswara³

Affiliation:

1. Vignan's Institute of Information Technology (A),Department of Computer Science and Engineering,Visakhapatnam,India

2. Koneru Lakshmaiah Education Foundation, Vaddeswaram,Department of Computer Science and Engineering,Guntur,India

3. Lakireddy Bali Reddy College of Engineering,Department of Computer Science and Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9792618/9792586/09793256.pdf?arnumber=9793256

Reference22 articles.

1. Real-Time Eye Blink Detection using Facial Landmarks;soukupová;21st Comput Vis Winter Work,2016

2. Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques

3. Real-time SVM Classification for Drowsiness Detection Using Eye Aspect Ratio;caio;Probabilistic Safety Assessment and Management PSAM4,2018

4. Automatic detection of driver impairment based on pupillary light reflex;amodio;IEEE Transactions on Intelligent Transportation Systems,2018

5. Real-Time Driver Drowsiness Detection System Using Eye Aspect Ratio and Eye Closure Ratio

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