Identifying multilayer differential core networks and effective discriminant features for driver fatigue detection-Reference-Cited by-同舟云学术

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Identifying multilayer differential core networks and effective discriminant features for driver fatigue detection

Published:2024-04 Issue: Volume:90 Page:105892
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Yang Kun^ORCID,Yang Xiliang,Li Ruochen^ORCID,Zhang Keze,Zhu Li,Zhang Jianhai,Xu Jing^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference59 articles.

1. Mental fatigue disturbs local processing more than global processing;Linden;Psychol. Res.,2006

2. Biological and behavioral factors affecting driving safety;Vivoli;J. Prev. Med. Hyg.,2006

3. Driver sleepiness and risk of serious injury to car occupants: population based case control study;Connor;BMJ,2022

4. Automatic driver cognitive fatigue detection based on upper body posture variations;Ansari;Expert Syst. Appl.,2022

5. Driver behavior detection and classification using deep convolutional neural networks;Shahverdy;Expert Syst. Appl.,2020

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