CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit

doi:10.1109/TCSS.2021.3127935

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit
	Li, Wenbo1 ; Zeng, Guanzhong 1; Zhang, Juncheng 1; Xu, Yan2 ; Xing, Yang 3; Zhou, Rui 4; Guo, Gang 1; Shen, Yu5 ; Cao, Dongpu 6; Wang, Fei-Yue7
发表期刊	IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
ISSN	2329-924X
	2021-11-29
页码	12
通讯作者	Guo, Gang(guogang@cqu.edu.cn)
摘要	Driver's emotion recognition is vital to improving driving safety, comfort, and acceptance of intelligent vehicles. This article presents a cognitive-feature-augmented driver emotion detection method that is based on emotional cognitive process theory and deep networks. Different from the traditional methods, both the driver's facial expression and cognitive process characteristics (age, gender, and driving age) were used as the inputs of the proposed model. Convolutional techniques were adopted to construct the model for driver's emotion detection simultaneously considering the driver's facial expression and cognitive process characteristics. A driver's emotion data collection was carried out to validate the performance of the proposed method. The collected dataset consists of 40 drivers' frontal facial videos, their cognitive process characteristics, and self-reported assessments of driver emotions. Another two deep networks were also used to compare recognition performance. The results prove that the proposed method can achieve well detection results for different databases on the discrete emotion model and dimensional emotion model, respectively.
关键词	Emotion recognition Feature extraction Cognitive processes Face recognition Task analysis Information processing Convolutional neural networks Affective computing driver emotion facial expression human-machine interaction (HMI) smart cockpit
DOI	10.1109/TCSS.2021.3127935
关键词[WOS]	IDENTIFICATION ; NETWORK
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Cybernetics ; Computer Science, Information Systems
WOS记录号	WOS:000727916600001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：32[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/46771
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Guo, Gang
作者单位	1.Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing 400044, Peoples R China 2.Univ Sci & Technol Beijing, Dept Mech Engn, Beijing 100083, Peoples R China 3.Cranfield Univ, Dept Aerosp Transport & Mfg, Cranfield MK43 0AL, Beds, England 4.Waytous Inc, Dept Res & Dev, Shenzhen, Peoples R China 5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 6.Univ Waterloo, Dept Mech & Mechatron Engn, Waterloo, ON N2L 3G1, Canada 7.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Li, Wenbo,Zeng, Guanzhong,Zhang, Juncheng,et al. CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2021:12.
APA	Li, Wenbo.,Zeng, Guanzhong.,Zhang, Juncheng.,Xu, Yan.,Xing, Yang.,...&Wang, Fei-Yue.(2021).CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,12.
MLA	Li, Wenbo,et al."CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2021):12.