Driver emotion recognition of multiple‐ECG feature fusion based on BP network and D

Driver emotion recognition of multiple‐ECG feature fusion based on BP network and D–S evidence

Published:2020-03-27 Issue:8 Volume:14 Page:815-824
ISSN:1751-9578
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET Intelligent Transport Systems

Author:

Wang Xiaoyuan¹²^ORCID,Guo Yongqing²³,Ban Jeff⁴,Xu Qing⁵,Bai Chenglin⁶,Liu Shanliang¹

Affiliation:

1. College of Electromechanical Engineering, Qingdao University of Science & TechnologyQingdaoPeople's Republic of China

2. The Joint Laboratory for Internet of Vehicles, Ministry of Education – China Mobile Communications CorporationTsinghua UniversityBeijingPeople's Republic of China

3. School of Transportation and Vehicle EngineeringShandong University of TechnologyZiboPeople's Republic of China

4. Department of Civil and Environmental EngineeringUniversity of WashingtonSeattleWA98195USA

5. Department of Automotive EngineeringTsinghua UniversityBeijing100084People's Republic of China

6. School of Physics Science and Communication EngineeringLiaocheng UniversityLiaocheng252000People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

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.2019.0499

Reference30 articles.

1. Identification of automobile driving tendency based on collaborative simulation of dynamic human‐car environment;Wang X;Sci. Press Beijing,2013

2. Research on driver information processing model based on cognitive psychology;Jia H.;Chin. J. Saf. Sci.,2006

3. Study on influencing factors selection of driver's propensity;Wang X.;Transp. Res. D, Transp. Environ.,2018

4. Transformation mechanism of vehicle cluster situations under dynamic evolution of driver's propensity;Wang X.;Transp. Res. F, Psychol. Behav.,2018

5. Driver's behavior and decision‐making optimization model in mixed traffic environment international;Wang X.;Adv. Mech. Eng.,2015

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