Fatigue poses an important safety risk to civil and military aviation. In addition to decreasing
performance in-flight (chronic) fatigue has negative long-term health effects. Possible …

An automatic emotion recognition system can serve as a fundamental framework for various
applications in daily life from monitoring emotional well-being to improving the quality of life …

Neural wearables can enable life-saving drowsiness and health monitoring for pilots and
drivers. While existing in-cabin sensors may provide alerts, wearables can enable …

Electroencephalogram (EEG) is a crucial and widely utilized technique in neuroscience
research. In this paper, we introduce a novel graph neural network called the spatial …

Improving workers' safety and health is one of the most critical issues in the construction
industry. Research attempts have been made to better identify construction hazards on a …

Mental fatigue (MF) can impair pilots' performance and reactions to unforeseen events and
is therefore an important concept within aviation. The physiological measurement of MF …

A person is more prone to nod off while driving, which could cause a traffic accident if they
don't receive enough sleep or rest. This leads to a variety of unpleasant scenarios, which we …

In brain–computer interfaces (BCIs), it is crucial to process brain signals to improve the
accuracy of the classification of motor movements. Machine learning (ML) algorithms such …

EEG (electroencephalogram) signals could be used reliably to extract critical information
regarding ADHD (attention deficit hyperactivity disorder), a childhood neurodevelopmental …

The detection of mental fatigue is an important issue in the nascent field of
neuroergonomics. Although machine learning approaches and especially deep learning …