The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …

Driving a vehicle is a complex, multidimensional, and potentially risky activity demanding full
mobilization and utilization of physiological and cognitive abilities. Drowsiness, often caused …

Existing visual-based fatigue detection methods usually monitor drivers' fatigue by capturing
their facial features, including eyelid movements, yawn frequency and head pose. However …

This study presents an ear-mounted photoplethysmography (PPG) system that is designed
to detect mental stress. Mental stress is a prevalent condition that can negatively impact an …

With the onset of the new technological age, the distractions caused due to handheld
devices have been a major cause of traffic accidents as they affect the decision-making …

Estimating cognitive workload levels is an emerging research topic in the cognitive
neuroscience domain, as participants' performance is highly influenced by cognitive …

Fatigue is an important factor affecting modern flight safety. It can easily lead to a decline in
pilots' operational ability, misjudgments, and flight illusions. Moreover, it can even trigger …

In this work we perform a study of various unsupervised methods to identify mental stress in
firefighter trainees based on unlabeled heart rate variability data. We collect RR interval time …

Background: Wearable multi-modal time-series classification applications outperform their
best uni-modal counterparts and hold great promise. A modality that directly measures …

Research studies on machine vision‐based driver fatigue detection algorithm have
improved traffic safety significantly. Generally, many algorithms asses the driving state …