Driver drowsiness detection using facial dynamic fusion information and a DBN-Reference-Cited by-同舟云学术

Driver drowsiness detection using facial dynamic fusion information and a DBN

Published:2017-12-06 Issue:2 Volume:12 Page:127-133
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Zhao Lei¹,Wang Zengcai¹²,Wang Xiaojin¹,Liu Qing¹

Affiliation:

1. School of Mechanical EngineeringShandong UniversityNo. 17923 of Jingshi RoadJinanPeople's Republic of China

2. School of Mechanical Engineering, Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of EducationShandong UniversityNo. 17923 of Jingshi RoadJinanPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2017.0183

Reference32 articles.

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4. Highly reliable driving workload analysis using driver electroencephalogram (EEG) activities during driving;Kim J.Y.;Int. J. Autom. Technol.,2013

5. Drowsy behavior detection based on driving information

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