Optimization and validation of multiscale feature selection for EEG-based recognition of drivers’ negative emotions
These findings provide a neurophysiological basis for developing a wearable EEG-based driver emotion recognition system that has the potential to enhance traffic safety and reduce the risk of accidents by enabling timely interventions based on drivers' emotional states.
Authors
- Yingzhang Wu (ORCID: https://orcid.org/0000-0003-1859-7653)
- Yan Li (ORCID: https://orcid.org/0009-0006-4965-0372)
- Bo Tang (ORCID: https://orcid.org/0009-0002-8630-8542)
- Bingjie Luo
- Yongfeng Ding
Institutions
- United States Department of the Army (US)
- Army Medical University (CN)
- Chongqing University of Arts and Sciences (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Traffic Injury Prevention
- Published
- 2026-01-14
- DOI
- https://doi.org/10.1080/15389588.2025.2591089
- Primary Topic
- Emotion and Mood Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00