Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG-Reference-Cited by-同舟云学术

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Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG

Published:2022-10 Issue:10 Volume:23 Page:19309-19322
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zuo Xin¹^ORCID,Zhang Chi¹^ORCID,Cong Fengyu¹^ORCID,Zhao Jian²^ORCID,Hamalainen Timo³^ORCID

Affiliation:

1. Faculty of Electronic Information and Electrical Engineering, School of Biomedical Engineering, Dalian University of Technology, Dalian, China

2. Faculty of Vehicle Engineering and Mechanics, School of Automotive Engineering, Dalian University of Technology, Dalian, China

3. Faculty of Information Technology, University of Jyväskylä, Jyväskylä, Finland

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9916643/09740521.pdf?arnumber=9740521

Reference80 articles.

1. Examining the Impact of Cell Phone Conversations on Driving Using Meta-Analytic Techniques

2. Cognitive load and detection thresholds in car following situations: safety implications for using mobile (cellular) telephones while driving

3. Driver Inattention Monitoring System for Intelligent Vehicles: A Review

4. Detection of lapses in responsiveness from the EEG

5. Sensitivity of Physiological Measures for Detecting Systematic Variations in Cognitive Demand From a Working Memory Task

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