Research on Recognition Method of Driving Fatigue State Based on Sample Entropy and Kernel Principal Component Analysis

Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model

(2018) Jianfeng Hu et al.   Cognitive Neurodynamics

EEG classification of driver mental states by deep learning

(2018) Hong Zeng et al.   Cognitive Neurodynamics

The Reorganization of Human Brain Networks Modulated by Driving Mental Fatigue

(2017) Chunlin Zhao et al.   IEEE Journal of Biomedical and Health Informatics

Driver Fatigue Classification With Independent Component by Entropy Rate Bound Minimization Analysis in an EEG-Based System

(2017) Rifai Chai et al.   IEEE Journal of Biomedical and Health Informatics

Improving EEG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks

(2017) Rifai Chai et al.   Frontiers in Neuroscience

Driver Fatigue Detection System Using Electroencephalography Signals Based on Combined Entropy Features

(2017) Zhendong Mu et al.   Applied Sciences-Basel