Drowsiness is characterized by reduced attentiveness, commonly experienced during the
transition from wakefulness to sleepiness. It can decrease an individual's alertness, thereby …

Electroencephalography (EEG) is a complex signal that may require several years of
training, advanced signal processing, and feature extraction methodologies to interpret …

Detecting drowsiness in drivers while driving is extremely important to avoid possible
accidents and reduce the fatality rate due to drivers slee** at the wheel. A real‐time alert …

Electroencephalogram (EEG) is used to analyze the state of the brain. One of the critical
states of the brain is drowsiness. Physical, mental tiredness, and unconsciousness are some …

Electroencephalogram (EEG) is an essential tool used to analyze the activities effectively
and different states of the brain. Drowsiness is a short period state of the brain that is also …

Drowsiness can be dangerous when performing tasks that require constant attention, such
as driving a vehicle. Sleepiness is correlated with a variety of physiological variables, such …

Fatigue driving is a significant cause of road traffic accidents and associated casualties.
Automatic assessment of driver drowsiness by monitoring electroencephalography (EEG) …

Decoding semantic concepts for imagination and perception tasks (SCIP) is important for
rehabilitation medicine as well as cognitive neuroscience. Electroencephalogram (EEG) is …

Fatigue-induced driving remains a prominent contributing factor to frequent traffic accidents.
Extensive research has demonstrated the efficacy of utilizing Electroencephalogram (EEG) …

At present, road accident has become a regular headache for all people around the world.
To overcome the situation, people are thinking of updating the way of driving and road law …