Evolvable block-based neural networks for classification of driver drowsiness based on heart rate variability
Studies have shown that driver drowsiness is one of the main causes of road accidents. It is estimated that 30% of road accidents are caused by driver drowsiness, which creates a need for driver drowsiness detection in modern vehicle systems. Previous works have shown the viability of using heart ra...
Saved in:
Main Authors: | Mohd. Hani, Mohamed Khalil, Nambiar, V. P., Sia, C. W., Marsono, M. N. |
---|---|
Format: | Conference or Workshop Item |
Published: |
2012
|
Online Access: | http://eprints.utm.my/id/eprint/34081/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PNN based driver drowsiness level classification using EEG
by: Mousa Kadhim, Wali, et al.
Published: (2014) -
Classification of driver drowsiness level using wireless EEG
by: Mousa Kadhim, Wali, et al.
Published: (2014) -
Driver drowsiness detection using different classification algorithms
by: Nor Shahrudin, Nur Shahirah, et al.
Published: (2020) -
Subtractive fuzzy classifier based driver drowsiness levels classification using EEG
by: Murugappan, M., Dr., et al.
Published: (2014) -
An evolvable block-based neural network architecture for embedded hardware
by: Paramasivam, Vishnu
Published: (2013)