Research on auditory and olfactory regulation methods for abnormal driver emotions based on EEG signals
The reliability of both the abnormal emotion recognition model and the emotion regulation assessment system was validated through the study. These findings contribute valuable scientific evidence for the management of drivers' emotions and suggest promising avenues for optimizing personalized emotional regulation strategies in the future.
Authors
- Yingzhang Wu (ORCID: https://orcid.org/0000-0003-1859-7653)
- Yilun Li
- Yan Li (ORCID: https://orcid.org/0000-0003-0815-3565)
- Quang H. Yue
- Bangbei Tang
Institutions
- Army Medical University (CN)
- Chongqing City Mental Health Center (CN)
- Chongqing University of Arts and Sciences (CN)
- State Key Laboratory of Vehicle NVH and Safety Technology (CN)
- Henan Institute of Science and Technology (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Frontiers in Human Neuroscience
- Published
- 2025-06-16
- DOI
- https://doi.org/10.3389/fnhum.2025.1615346
- Citations
- 1
- Primary Topic
- Sleep and Work-Related Fatigue
- Type
- article
- Field-Weighted Citation Impact
- 2.12
Funders
- National Natural Science Foundation of China
- Chongqing University of Arts and Sciences