| MDEmoNet: A Multimodal Driver Emotion Recognition Network for Smart Cockpit | |
| Hu, Chenhao1; Gu, Shenyu1; Yang, Mengjie1; Han, Gang2; Lai, Chun Sing3; Gao, Mingyu1; Yang, Zhexun4; Ma, Guojin1 | |
| 2024 | |
| 会议录名称 | Digest of Technical Papers - IEEE International Conference on Consumer Electronics
 |
| 原始文献类型 | Conference article (CA) |
| 摘要 | The automotive smart cockpit is an intelligent and connected in-vehicle consumer electronics product. It can provide a safe, efficient, comfortable, and enjoyable human-machine interaction experience. Emotion recognition technology can help the smart cockpit better understand the driver's needs and state, improve the driving experience, and enhance safety. Currently, driver emotion recognition faces some challenges, such as low accuracy and high latency. In this paper, we propose a multimodal driver emotion recognition model. To our best knowledge, it is the first time to improve the accuracy of driver emotion recognition by using facial video and driving behavior (including brake pedal force, vehicle Y-Axis position and Z-Axis position) as inputs and employing a multi-Task training approach. For verification, the proposed scheme is compared with some mainstream state-of-The-Art methods on the publicly available multimodal driver emotion dataset PPB-Emo. © 2024 IEEE. |
| DOI | 10.1109/ICCE59016.2024.10444365 |
| 语种 | 英语 |
| ISSN | 0747-668X |
| 收录类别 | EI |
| EI入藏号 | 20241115715582 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| EISSN | 2159-1423 |
| 会议名称 | 2024 IEEE International Conference on Consumer Electronics, ICCE 2024 |
| 会议日期 | January 6, 2024 - January 8, 2024 |
| 会议地点 | Las Vegas, NV, United states |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.cug.edu.cn/handle/2XU834YA/360988 |
| 专题 | 中国地质大学（武汉） |
| 通讯作者 | Hu, Chenhao |
| 作者单位 | 1.Hangzhou Dianzi University Equipment Electronics Key Lab, School of Electronics and Information, Hangzhou, China 2.Xi'An University of Posts and Telecommunications, National Engineering Laboratory for Wireless Security, Xi'an, China 3.Brunel University London, Department of Electronic and Electrical Engineering, London, United Kingdom 4.China University of Geosciences Wu Han, Faculty of Materials Science and Chemistry, Wuhan, China |
| 推荐引用方式 GB/T 7714 | Hu, Chenhao,Gu, Shenyu,Yang, Mengjie,et al. MDEmoNet: A Multimodal Driver Emotion Recognition Network for Smart Cockpit[C]:Institute of Electrical and Electronics Engineers Inc.,2024. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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