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

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

<p dir="ltr">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 differ...

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Bibliographic Details
Main Author: Ruilin Li (5627456) (author)
Other Authors: Ruobin Gao (16003195) (author), Ponnuthurai Nagaratnam Suganthan (11274636) (author)
Published: 2023
Subjects:
Engineering
Electronics, sensors and digital hardware
Information and computing sciences
Artificial intelligence
Computer vision and multimedia computation
Machine learning
Electroencephalogram (EEG)
Signal decomposition
Ensemble learning
Convolutional Neural Network (CNN)
Driver fatigue recognition
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