Driver Drowsiness Detection Using Fixed and Dynamic Thresholding-Reference-Cited by-同舟云学术

Driver Drowsiness Detection Using Fixed and Dynamic Thresholding

Published:2022-10-25 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Data Analytics for Business and Industry (ICDABI)
language:
Short-container-title:

Author:

Essel Ebenezer¹,Lacy Fred¹,Elmedany Wael²,Albalooshi Fatema²,Ismail Yasser¹

Affiliation:

1. Southern University and A & M College,Department of Electrical Engineering,Baton Rouge,LA,U.S.A.

2. University of Bahrain,College of Information Technology,Bahrain

Funder

Louisiana Transportation Research Center

University of Bahrain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10041434/10041254/10041670.pdf?arnumber=10041670

Reference25 articles.

1. Android OpenCV based effective driver fatigue and distraction monitoring system

2. Driver fatigue detection based on eye tracking and dynamic template matching;horng;Proc IEEE Int Conf Netw Sens Control,2004

3. Real-Time Eye Blink Detection using Facial Landmarks;cech;Center for Machine Perception Department of Cybernetics Faculty of Electrical Engineering Czech Technical University in Prague,2016

4. Computer Vision based drowsiness detection for motorized vehicles with Web Push Notifications

5. Automatic Detection of Driver Fatigue Using Driving Operation Information for Transportation Safety

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. Skin cancer classification based on an optimized convolutional neural network and multicriteria decision-making;Scientific Reports;2024-07-27

2. Machine learning for low signal-to-noise ratio detection;Pattern Recognition Letters;2024-03

3. Driver Drowsiness Detection Using Computer Vision and Machine Learning Techniques;2023 4th International Conference on Data Analytics for Business and Industry (ICDABI);2023-10-25