Intelligent Drowsiness and Illness Detection Assist System for Drivers-Reference-Cited by-同舟云学术

Intelligent Drowsiness and Illness Detection Assist System for Drivers

Published:2022-02-23 Issue: Volume: Page:
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Container-title:2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS)
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Author:

Janani R P¹,Narayanan K. Lakshmi¹,Krishnan R. Santhana²,Kannan P.¹,Kabilan R.¹,Muthukumaran N.¹

Affiliation:

1. Francis Xavier Engineering College,Department of Electronics and Communication Engineering,Tirunelveli,Tamilnadu,India

2. SCAD College of Engineering and Technology,Department of Electronics and Communication Engineering,Tirunelveli,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9741824/9741825/09743075.pdf?arnumber=9743075

Reference26 articles.

1. Driver Drowsiness Detection by Yawn Identification Based on Depth Information and Active Contour Model

2. Dress code Surveillance Using Deep learning

3. Driver Drowsiness Detection Based on Humantenna Effect for Automotive Safety Systems

4. Development of an intelligent drowsiness detection system for drivers using image processing technique

5. Road Accident Data Analytics Using Map - Reduce Concept ’, International Journal of Innovative Technology and Exploring Engineering;joshua samuel raj,2019

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