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

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

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,...