Driver Cognitive Architecture Based on EEG Signals: A Review

P Mi, L Yan, Y Cheng, Y Liu, J Wang… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
To improve the driving performance of vehicles, it is of great significance to study the
changes in the driver's brain cognition during driving and to establish an intelligent driving …

A driving performance forecasting system based on brain dynamic state analysis using 4-D convolutional neural networks

CT Lin, CH Chuang, YC Hung, CN Fang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Vehicle accidents are the primary cause of fatalities worldwide. Most often, experiencing
fatigue on the road leads to operator errors and behavioral lapses. Thus, there is a need to …

Impact of Heat Stress on Individual Cognitive States: Utilizing EEG Metrics in Immersive VR–Based Construction Safety Training

Y Shin, D Choi, H Park, M Lee, T Hong… - Journal of Management …, 2024 - ascelibrary.org
As global warming continues, safeguarding the health and safety of construction workers in
extremely hot environments becomes imperative. Real-time and quantitative assessment of …

A Connectivity-Aware Graph Neural Network for Real-Time Drowsiness Classification

Z Zhuang, YK Wang, YC Chang, J Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Drowsy driving is one of the primary causes of driving fatalities. Electroencephalography
(EEG), a method for detecting drowsiness directly from brain activity, has been widely used …

Using occipital⍺-bursts to modulate behavior in real-time

I Vigué-Guix, S Soto-Faraco - Cerebral Cortex, 2023 - academic.oup.com
Pre-stimulus endogenous neural activity can influence the processing of upcoming sensory
input and subsequent behavioral reactions. Despite it is known that spontaneous oscillatory …

Exploring covert states of brain dynamics via fuzzy inference encoding

YC Chang, YK Wang, NR Pal… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Human brain inherently exhibits latent mental processes which are likely to change rapidly
over time. A framework that adopts a fuzzy inference system is proposed to model the …

Individual Variability in Brain Connectivity Patterns and Driving-Fatigue Dynamics

O Giannakopoulou, I Kakkos, GN Dimitrakopoulos… - Sensors, 2024 - mdpi.com
Mental fatigue during driving poses significant risks to road safety, necessitating accurate
assessment methods to mitigate potential hazards. This study explores the impact of …

Attention-based cross-frequency graph convolutional network for driver fatigue estimation

J An, Q Cai, X Sun, M Li, C Ma, Z Gao - Cognitive Neurodynamics, 2024 - Springer
Fatigue driving significantly contributes to global vehicle accidents and fatalities, making
driver fatigue level estimation crucial. Electroencephalography (EEG) is a proven reliable …

EEG information transfer changes in different daily fatigue levels during drowsy driving

KC Huang, CY Tseng, CT Lin - IEEE open journal of …, 2024 - ieeexplore.ieee.org
A significant issue for traffic safety has been drowsy driving for decades. A number of studies
have investigated the effects of acute fatigue on spectral power; and recent research has …

Using occipital⍺-bursts to modulate behaviour in real-time

I Vigué-Guix, S Soto-Faraco - bioRxiv, 2022 - biorxiv.org
Spontaneous oscillatory neural activity can influence the processing of incoming sensory
input and subsequent behavioural reactions. Spontaneous oscillatory activity mostly …