Cognitive Response of Underground Car Driver Observed by Brain EEG Signals
In auxiliary transportation within mines, accurately assessing the cognitive and response states of drivers is vital for ensuring safety and operational efficiency. This study investigates the effects of various vehicle interaction stimuli on the electroencephalography (EEG) signals of mine transpor...
Saved in:
| Main Authors: | Yizhe Zhang, Lunfeng Guo, Xiusong You, Bing Miao, Yunwang Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/23/7763 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Driver Intention Recognition for Mine Transport Vehicle Based on Cross-Modal Knowledge Distillation
by: Yizhe Zhang, et al.
Published: (2025-06-01) -
METHANE RISK ANALYSIS FOR SUSTAINABLE OCCUPATIONAL SAFETY IN UNDERGROUND COAL MINES
by: Ali Kemal Eyuboglu, et al.
Published: (2025-01-01) -
ESENA: A Novel Spatiotemporal Event Network Information Approach for Mining Scalp EEG Data
by: Qiwei Dong, et al.
Published: (2025-03-01) -
SLAM-based localization method of coal mine underground robot with adaptability to dark illumination environment
by: Song JIANG, et al.
Published: (2025-05-01) -
A low-carbon scheduling method based on improved ant colony algorithm for underground electric transportation vehicles
by: Yizhe Zhang, et al.
Published: (2025-01-01)