Eye tracking system to detect driver drowsiness-Reference-Cited by-同舟云学术

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Eye tracking system to detect driver drowsiness

Published:2015-02 Issue: Volume: Page:
ISSN:
Container-title:2015 6th International Conference on Automation, Robotics and Applications (ICARA)
language:
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Author:

Nguyen T. P.,Chew M. T.,Demidenko S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7066220/7081113/07081194.pdf?arnumber=7081194

Cited by 27 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. A systematic review on analysis of automatic drowsiness detection for preventing road accidents;Multimedia Tools and Applications;2024-07-23

2. Association of Visual-Based Signals with Electroencephalography Patterns in Enhancing the Drowsiness Detection in Drivers with Obstructive Sleep Apnea;Sensors;2024-04-19

3. Machine Learning and OpenCV: A Powerful Combination for Driver Drowsiness Detection;2024 International Conference on Communication, Computing and Internet of Things (IC3IoT);2024-04-17

4. Studying Drowsiness Detection Performance While Driving Through Scalable Machine Learning Models Using Electroencephalography;Cognitive Computation;2024-01-11

5. A Systematic Review on Driver Drowsiness Detection Using Eye Activity Measures;IEEE Access;2024

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