Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)

Two-stage Experimental Research Method for Fatigue Driving Based on Multiple Signal Sources.

Authors
Xiaofan Wang, Hongxu Chen, Xuyang Zhao, Yuhao Wang, Zhenhao Zhang
Corresponding Author
Xiaofan Wang
Available Online May 2018.
DOI
10.2991/meees-18.2018.81How to use a DOI?
Keywords
Fatigue driving, multiple signal sources, two-stage experiment
Abstract

Fatigue driving is the main cause of traffic accidents. Through the study of driver behavior characteristics, indoor steering experiments were used to screen the steering wheel angle, grip force, accelerator pedal opening, pedaling frequency, and pulse frequency signal. The outdoor driving experiment was used to further screen the preliminary screening signals, and the behavioral characteristics were analyzed. The correlation between parameters and fatigue. The research on the fatigue monitoring of the driver using a variety of signals provides experimental basis and theoretical basis for the design of the driver's fatigue warning device.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
Series
Advances in Engineering Research
Publication Date
May 2018
ISBN
10.2991/meees-18.2018.81
ISSN
2352-5401
DOI
10.2991/meees-18.2018.81How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaofan Wang
AU  - Hongxu Chen
AU  - Xuyang Zhao
AU  - Yuhao Wang
AU  - Zhenhao Zhang
PY  - 2018/05
DA  - 2018/05
TI  - Two-stage Experimental Research Method for Fatigue Driving Based on Multiple Signal Sources.
BT  - Proceedings of the 2018 International Conference on Mechanical, Electrical, Electronic Engineering & Science (MEEES 2018)
PB  - Atlantis Press
SP  - 472
EP  - 475
SN  - 2352-5401
UR  - https://doi.org/10.2991/meees-18.2018.81
DO  - 10.2991/meees-18.2018.81
ID  - Wang2018/05
ER  -