The electroencephalography (EEG) signal is a noninvasive and complex signal that has
numerous applications in biomedical fields, including sleep and the brain–computer …

In the aviation industry, safety remains vital, often compromised by pilot errors attributed to
factors such as workload, fatigue, stress, and emotional disturbances. To address these …

Elevated mental workload (MWL) experienced by pilots can result in increased reaction
times or incorrect actions, potentially compromising flight safety. This study aims to develop …

Announced by WHO in 2020, the global COVID-19 pandemic caused by SARS-CoV-2 has
affected many people, leading to serious health consequences. These consequences are …

Cognitive workload assessment is crucial for ensuring pilots' safety during flights.
Electroencephalography (EEG) is a promising tool for monitoring cognitive workload …

Cycling remains a popular mode of transportation, yet cyclists are vulnerable road users that
face numerous safety challenges. Although human factors research typically focuses on …

Emotion detection assumes a pivotal role in the evaluation of adverse psychological
attributes, such as stress, anxiety, and depression. This study undertakes an exploration into …

Over the past few years, the increasing occurrence of catastrophic accidents in aviation
owing to human factors has raised several devastating threats to mankind. Recent progress …

The classification performance of endogenous electroencephalogram (EEG) brain-computer
interfaces (BCIs) can be improved by hybridizing the paradigm through the use of …

This study addresses concerns about reproducibility in scientific research, focusing on the
use of electroencephalography (EEG) and machine learning to estimate mental workload …