This paper examines the predictability of driving events by passenger
electroencephalography (EEG) data using Morlet wavelets and Evoked Responses (ER). As …

Driver behavior and intention recognition affects traffic safety. Many scholars use the
steering wheel angle, distance of the brake pedal, distance of the accelerator pedal, and …

Risky driving states such as aggressive driving and unstable driving are the cause of many
traffic accidents. Many studies have used either driving data or physiological data such as …

Driving is an essential activity in today's busy and complex society, and it demands physical
and mental abilities, collectively known as a driving workload. For safe and comfortable …

The main cause of traffic accidents is drivers' human errors such as cognitive, judgment, and
execution errors. To mitigate drivers' human errors, research on the measurement and …

The driver is one of the most important factors in the safety of the transportation system. The
driver's perceptual characteristics are closely related to driving behavior, while …

Drivers are “self-driven particle” factors of a traffic system, and its perception characteristics
have close relationship with traffic driving behavior. It is an effective way to detect the drivers' …

Driving behavior studies based on electroencephalography (EEG) have mostly investigated
the relationship between various risky driving behaviors and brain activity, while only a few …

The safety and performance of automobile drivers depend on many factors. The mental
status of the drivers is the foremost factor in ensuring driving safety, in addition to physical …

It has become increasingly important to monitor drivers' negative emotions during driving to
prevent accidents. Despite drivers' anxiety being critical for safe driving, there is a lack of …