As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …

The occurrence of mental fatigue during tasks like driving a vehicle increases risk of injury or
death. Changes in electroencephalographic (EEG) activity associated with mental fatigue …

Background Neuroergonomics combines neuroscience with ergonomics to study human
performance using recorded brain signals. Such neural signatures of performance can be …

Physiological signals such as electroencephalogram (EEG) and electrooculography (EOG)
recordings are very important non-invasive measures of detecting a person's …

Accurate prediction of driving behaviour is essential for an active safety system to ensure
driver safety. A model for predicting lane-changing behaviour is developed from the results …

Vehicle accidents on long routes around the world are frequently caused by drowsy drivers.
It is mainly because there is no system that measures alertness. The driver will be notified to …

The appearance of fatigue is not conducive to driving activities because this state can affect
driving performance and even cause life-threatening consequences. To reduce various …

An artificial neural network (ANN) model was developed in the present study to classify the
level of a driver's cognitive workload based on electrocardiography (ECG). ECG signals …

Driver fatigue is an important contributor to road accidents, and fatigue detection has major
implications for transportation safety. The aim of this research is to analyze the multiple …

Drowsiness is a state of fatigue or sleepiness characterized by a strong urge to sleep. It is
correlated with a progressive decline in response time, compromised processing of …