A monitoring method of driver fatigue behavior based on machine vision-Reference-Cited by-同舟云学术

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A monitoring method of driver fatigue behavior based on machine vision

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Container-title:IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683)
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Author:

Wang Rong-ben ,Guo Ke-you ,Shi Shu-ming ,Chu Jiang-wei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/8598/27237/01212893.pdf?arnumber=1212893

Cited by 23 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. An Intelligent Framework for Driver Fatigue Detection Based on Hybrid Model of Gradient Boost Decision Tree-CNN-LR;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

2. Application of Machine Learning and Image Recognition for Driver Attention Monitoring;2023 IEEE International Conference on Electro Information Technology (eIT);2023-05-18

3. Driving Violation Detection Using Vehicle Data and Environmental Conditions;2021 11th International Conference on Computer Engineering and Knowledge (ICCKE);2021-10-28

4. EEG-based brain functional connectivity representation using amplitude locking value for fatigue-driving recognition;Cognitive Neurodynamics;2021-09-13

5. Driving Fatigue Recognition With Functional Connectivity Based on Phase Synchronization;IEEE Transactions on Cognitive and Developmental Systems;2021-09

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