Driver fatigue detection systems have potential to improve road safety by preventing crashes
and saving lives. Conventional driver monitoring systems based on driving performance and …

Abstract Heart Rate Variability (HRV) is a good predictor of human health because the heart
rhythm is modulated by a wide range of physiological processes. This statement embodies …

Heart rate variability (HRV) is the rate of variability between each heartbeat with respect to
time. It is used to analyse the Autonomic Nervous System (ANS), a control system used to …

Blink detection is an important technique in a variety of settings, including facial movement
analysis and signal processing. However, automatic blink detection is very challenging …

Introduction: Drowsiness is one of the main contributors to road-related crashes and
fatalities worldwide. To address this pressing global issue, researchers are continuing to …

Road vehicle accidents are mostly due to human errors, and many such accidents could be
avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing …

In recent years, artificial intelligence has led to rapid development and application across
various industries. One of the significant developments is the improvement of transportation …

A physiological-based driver monitoring system (DMS) has attracted research interest and
has great potential for providing more accurate and reliable monitoring of the driver's state …

In this study, we challenge the commonly held belief that virtual meeting fatigue manifests as
exhaustion (ie, active fatigue) resulting from overloading demands and instead suggest that …

Distracted driver classification (DDC) plays an important role in ensuring driving safety.
Although many datasets are introduced to support the study of DDC, most of them are small …