Background Commercial electroencephalography (EEG) devices have become increasingly
available over the last decade. These devices have been used in a wide variety of fields …

Brain–computer interfaces (BCIs) utilizing machine learning techniques are an emerging
technology that enables a communication pathway between a user and an external system …

Nowadays, fieldwork is often accompanied by tight schedules, which tends to strain the
shoulder muscles due to high-intensity work. Moreover, it is difficult and stressful for the …

Pilot fatigue is a critical reason for aviation accidents related to human errors. Human-
related accidents might be reduced if the pilots' eye movement measures can be leveraged …

Uncrewed aerial vehicles are integral to a smart city framework, but the dynamic
environments above and within urban settings are dangerous for autonomous flight. Wind …

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 …

The purpose of this research is to examine and assess the relation between a pilot's
concentration and reaction time with specific brain activity during short-haul flights …

Microgravity has been shown to be a significant stressor on the cardiovascular system and
the brain due to the redistribution of fluids that occurs in the absence of gravitational force …

Multiplexed deep neural networks (DNN) have engendered high-performance predictive
models gaining popularity for decoding brain waves, extensively collected in the form of …

Blink-related oscillations (BRO) are newly discovered neurophysiological phenomena
associated with spontaneous blinking and represent cascading neural mechanisms …