A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition

A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition

Electroencephalogram (EEG) has become increasingly popular in driver fatigue monitoring systems. Several decomposition methods have been attempted to analyze the EEG signals that are complex, nonlinear and non-stationary and improve the EEG decoding performance in different applications. However,...

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Bibliographic Details
Main Authors: Li, Ruilin, Gao, Ruobin, Suganthan, Ponnuthurai Nagaratnam
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Electroencephalogram
Signal Decomposition
Online Access:https://hdl.handle.net/10356/170827

Internet

https://hdl.handle.net/10356/170827

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