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

Ninety percent of the world's cargo is transported by sea, and the fatigue of ship officers of
the watch (OOWs) contributes significantly to maritime accidents. The fatigue detection of …

In EEG based driving fatigue detection, the redundant EEG channels would increase the
probability of introducing noise and heaving calculation burden. Aiming at this point, we built …

Modern cities have imposed a fast-paced lifestyle where more drivers on the road suffer from
fatigue and sleep deprivation. Consequently, road accidents have increased, becoming one …

Safe driving plays a crucial role in public health, and driver fatigue causes a large proportion
of crashes in road driving. Hence, this paper presents the development of an efficient system …

Despite the emerging and rapid progress of esports, approaches for ensuring high-quality
analytics and training among professional and amateur esports teams are lacking. In this …

The vigilance decrement of high-speed rail (HSR) drivers is one of the main factors
contributing to accidents. It's necessary to develop an effective and reliable method to …

Various studies have shown that it is necessary to estimate the drivers' vigilance to reduce
the occurrence of traffic accidents. Most existing EEG-based vigilance estimation studies …

In recent years, the continuous increase of private car ownership has led to an ever
increasing number of road traffic accidents caused by driver fatigue. This paper, which is …

One of the primary causes of traffic accidents is drowsy driving. Therefore, it is of paramount
importance to detect driver drowsiness promptly through accurate electroencephalography …