基于真实驾驶数据的智能驾驶舱大脑启发式驾驶员情绪检测

IF 4.3 3区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Intelligent Transportation Systems Magazine Pub Date : 2023-12-22 DOI:10.1109/mits.2023.3339758
Wenbo Li, Yingzhang Wu, Huafei Xiao, Shen Li, Ruichen Tan, Zejian Deng, Wen Hu, Dongpu Cao, Gang Guo
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引用次数: 0

摘要

智能驾驶舱的情感化人车交互是影响智能网联汽车接受度、信任度和体验的关键因素。驾驶员情绪检测是实现情感化人机交互的前提。为了实现准确、鲁棒性的驾驶员情绪检测,我们提出了一种利用面部表情进行路面驾驶员情绪检测的新型大脑启发框架。然后,我们在道路环境中进行了驾驶员情绪数据收集。我们开发了一个数据注释工具,对收集到的数据进行注释,并获得了 RoadEmo 数据集,这是一个包含驾驶员情绪驾驶下的面部表情和道路场景的数据集。最后,我们验证了所提框架的检测准确性。实验结果表明,我们提出的框架在道路驾驶员情绪检测任务中取得了优异的检测性能,优于现有框架。
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Brain-Inspired Driver Emotion Detection for Intelligent Cockpits Based on Real Driving Data
Affective human–vehicle interaction of intelligent cockpits is a key factor affecting the acceptance, trust, and experience for intelligent connected vehicles. Driver emotion detection is the premise of realizing affective human–machine interaction. To achieve accurate and robust driver emotion detection, we propose a novel brain-inspired framework for on-road driver emotion detection using facial expressions. Then, we conduct driver emotion data collection in an on-road context. We develop a data annotation tool, annotate the collected data, and obtain the RoadEmo dataset, a dataset of facial expressions and road scenarios under the driver’s emotional driving. Finally, we validate the detection accuracy of the proposed framework. The experiment results show that our proposed framework achieves excellent detection performance in the on-road driver emotion detection task and outperforms existing frameworks.
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来源期刊
IEEE Intelligent Transportation Systems Magazine
IEEE Intelligent Transportation Systems Magazine ENGINEERING, ELECTRICAL & ELECTRONIC-TRANSPORTATION SCIENCE & TECHNOLOGY
CiteScore
8.00
自引率
8.30%
发文量
147
期刊介绍: The IEEE Intelligent Transportation Systems Magazine (ITSM) publishes peer-reviewed articles that provide innovative research ideas and application results, report significant application case studies, and raise awareness of pressing research and application challenges in all areas of intelligent transportation systems. In contrast to the highly academic publication of the IEEE Transactions on Intelligent Transportation Systems, the ITS Magazine focuses on providing needed information to all members of IEEE ITS society, serving as a dissemination vehicle for ITS Society members and the others to learn the state of the art development and progress on ITS research and applications. High quality tutorials, surveys, successful implementations, technology reviews, lessons learned, policy and societal impacts, and ITS educational issues are published as well. The ITS Magazine also serves as an ideal media communication vehicle between the governing body of ITS society and its membership and promotes ITS community development and growth.
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