Real-time intelligent alarm system of driver fatigue based on video sequences-Reference-Cited by-同舟云学术

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Real-time intelligent alarm system of driver fatigue based on video sequences

Published:2013-02 Issue: Volume: Page:
ISSN:
Container-title:2013 First RSI/ISM International Conference on Robotics and Mechatronics (ICRoM)
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Author:

Rezaee K.,Alavi S. R.,Madanian M.,Rasegh Ghezelbash Mohammad,Khavari H.,Haddadnia J.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6507005/6510065/06510137.pdf?arnumber=6510137

Cited by 10 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. Analysis and Implementation of Driver Drowsiness, Distraction, and Detection System;Communications in Computer and Information Science;2024

2. Face Fatigue Feature Detection Based on Improved D-S Model in Complex Scenes;IEEE Access;2023

3. Eye blink detection using electrooculography based on support vector machine;AIP Conference Proceedings;2023

4. A Deep Learning Approach to Classify Sitting and Sleep History from Raw Accelerometry Data during Simulated Driving;Sensors;2022-09-01

5. Measuring The Fatigue of Persons Based on EOG Signal Processing Mmethods;2022 5th International Conference on Engineering Technology and its Applications (IICETA);2022-05-31

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