Driving can occupy a large portion of daily life and often can elicit negative emotional states
like anger or stress, which can significantly impact road safety and long-term human health …

Abstract To apply Artificial Intelligence (AI), Machine Learning (ML) and Machine Reasoning
(MR) in health informatics are often challenging as they comprise with multivariate …

The many vehicle crashes that are caused by driver sleepiness each year advocates the
development of automated driver sleepiness detection (ADSD) systems. This study …

The article presents the results of studies on drowsiness and drowsiness detection
performed using heart rate variability analysis (HRV). The results of those studies indicate …

One debatable issue in traffic safety research is that the cognitive load by secondary tasks
reduces primary task performance, ie, driving. In this paper, the study adopted a version of …

Monitoring drivers' emotions is the key aspect of designing advanced driver assistance
systems (ADAS) in intelligent vehicles. To ensure safety and track the possibility of vehicles' …

The risk assessment of railway accidents requires the implementation of several safety
analysis methods such as Preliminary Hazard Analysis, Functional Safety Analysis, Analysis …

Heart rate is a parameter describing activity of human heart and its psycho-physiological
character based on sympathovagal balance of autonomic nervous system, which could be …

Introduction: Early recognition of bipolar disorder improves the prognosis and decreases the
burden of the disease. However, there is a significant delay in diagnosis. Multiple risk factors …

The first in‐depth study on the use of electrocardiogram and electrooculogram for subject‐
dependent classification in driver sleepiness/fatigue under realistic driving conditions is …