EEG-based driver’s awareness/vigilance monitoring for future car design
Driving with low vigilance becomes a significant factor for traffic accidents. Comparing with other resources, Electroencephalograph (EEG) provides direct and early measure to detect vigilance. Extreme Learning Machine (ELM) as a machine learning technique is used for efficient solutions to generali...
Saved in:
Main Author: | Wei, Xu |
---|---|
Other Authors: | Huang Guangbin |
Format: | Final Year Project |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/67945 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Driver’s awareness/multi-tasking monitoring for future car design
by: Mao, Wenjian
Published: (2015) -
Biosignals-based driver’s awareness/emotion monitoring for future car design
by: Yao, Xibing
Published: (2016) -
EEG-based serious games design for medical applications
by: Wang, Mengying.
Published: (2011) -
Eye movement feature extraction for driver vigilance classification
by: Fu, Zhuxuan
Published: (2015) -
Impact on car platoon simulations: headway distance vs stopping distance
by: Lim, Jia Le
Published: (2023)