An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that
provides a pathway between the brain and external devices by interpreting EEG. EEG …

Brain computer interface technology represents a highly growing field of research with
application systems. Its contributions in medical fields range from prevention to neuronal …

Since the discovery of the EEG principles by Berger in the 20's, procedures for artifact
removal have been essential in its pre-processing. In literature, diverse approaches based …

Train driver fatigue and distraction are the main reasons for railway accidents. One of the
new technologies to monitor drivers is by using the EEG signals, which provides vital signs …

Driver fatigue is attracting more and more attention, as it is the main cause of traffic
accidents, which bring great harm to society and families. This paper proposes to use deep …

Driving behavior recognition is the foundation of driver assistance systems, with potential
applications in automated driving systems. Most prevailing studies have used subjective …

Fatigue driving can easily lead to road traffic accidents and bring great harm to individuals
and families. Recently, electroencephalography‐(EEG‐) based physiological and brain …

Distracted driving is one of the key factors that cause drivers to ignore potential road hazards
and then lead to accidents. Existing efforts in distracted behavior recognition are mainly …

Driver fatigue detection is of great significance for guaranteeing traffic safety and further
reducing economic as well as societal loss. In this article, a novel complex network (CN) …

Background Multichannels used in brain–computer interface (BCI) systems contain
redundant information and cause inconvenience for practical application. Channel selection …