Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity-Reference-Cited by-同舟云学术

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Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity

Published:2023 Issue: Volume: Page:1-15
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Jiao Yubo¹^ORCID,Zhang Ce²,Chen Xiaoyu¹,Fu Liping²,Jiang Chaozhe¹,Wen Chao³^ORCID

Affiliation:

1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China

2. Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, Canada

3. Department of IT Operational Technology, CN Rail, Waterloo, Canada

Funder

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/10324398.pdf?arnumber=10324398

Cited by 3 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. Air Traffic Controller Workload Detection Based on EEG Signals;Sensors;2024-08-15

2. Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions;Sensors;2024-08-10

3. Individual Variability in Brain Connectivity Patterns and Driving-Fatigue Dynamics;Sensors;2024-06-16

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