Detecting drowsiness among drivers is critical for ensuring road safety and preventing
accidents caused by drowsy or fatigued driving. Research on yawn detection among drivers …

This paper introduces a new methodology aimed at comfort for the driver in-the-wild
multimodal corpus creation for audio-visual speech recognition in driver monitoring systems …

Developing a driver monitoring system that can assess the driver's state is a prerequisite
and a key to improving the road safety. With the success of deep learning, such systems can …

Driving behaviour analysis has drawn much attention in recent years due to the dramatic
increase in the number of traffic accidents and casualties, and based on many studies, there …

Drivers' distraction has been widely studied in the field of naturalistic driving studies.
However, it is difficult to use traditional variables, such as speed, acceleration, and yaw rate …

When engaging in activities such as using video display terminals, driving, or sports,
effective fatigue monitoring is crucial. Nevertheless, obtaining biological information through …

One of the key functions of driver monitoring systems is the evaluation of the driver's state,
which is a key factor in improving driving safety. Currently, such systems heavily rely on the …

Measuring vital signs is usually done by sensors attached to the human body. In clinical
cases, the patients are being monitored by contacted devices that alert the medical staff …

This paper presents an approach and a case study for threat detection during human–
computer interaction, using the example of driver–vehicle interaction. We analyzed a driver …

Many real-world applications rely on head pose estimation. The performance of head pose
estimation has significantly improved with techniques like convolutional neural networks …