Driver Drowsiness Detection Using DLIB-Reference-Cited by-同舟云学术

Driver Drowsiness Detection Using DLIB

Published:2022-04-28 Issue: Volume: Page:
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Container-title:2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Jain Mayank¹,Prakash Muskan¹,Rajan Gokul V.¹

Affiliation:

1. Galgotias University,Greater Noida,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823381/9823413/09823645.pdf?arnumber=9823645

Reference15 articles.

1. Drowsiness Detection System for Car Assisted Driver Using Image Processing;nagargoje;International Journal of Electrical and Electronics Research,2015

2. Non-intrusive Methods used to Determine the Driver Drowsiness: Narrative Review Articles;omidi;International Journal of Occupational Hygiene,2016

3. Implementation of the Driver Drowsiness Detection System;srijayathi;International Journal of Science Engineering and Technology Research (IJSETR),2013

4. Eye tracking based driver fatigue monitoring and warning system

5. A Survey on Machine Learning: Concept, Algorithms and Applications;das;International Journal of Innovative Research in Computer and Communication Engineering,2017

Cited by 3 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. Driver Fatigue Detection Using OpenCV and Dlib Library;2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE);2023-12-04

2. Driver Drowsiness Detection Using Open CV and DLIB;2023 International Conference on Networking and Communications (ICNWC);2023-04-05

3. Study on Drowsiness Detection System Using Deep Learning;Lecture Notes in Networks and Systems;2023