In this paper, a review is presented for the research on eye gaze estimation techniques and
applications, which has progressed in diverse ways over the past two decades. Several …

Traffic congestion is more likely to lead to aggressive driving behavior that is associated with
increased crash risks. Previous studies mainly focus on driving behavior during congestion …

Human gaze estimation plays a major role in many applications in human–computer
interaction and computer vision by identifying the users' point-of-interest. Revolutionary …

As automobiles become increasingly autonomous, there is growing interest in personalized
automation based on human behavior. However, there is an increasing need for behavioral …

Proper calibration of human reliance on AI is fundamental to achieving complementary
performance in AI-assisted human decision-making. Most previous works focused on …

It has been observed that driver behavior has a direct and considerable impact upon factors
like fuel consumption, environmentally harmful emissions, and public safety, making it a key …

Although there have been assorted car-following (CF) models for connected vehicles (CVs),
studying their impacts in mixed traffic flow of human-driven vehicles (HVs) and CVs remains …

Traditional video-based human activity recognition has experienced remarkable progress
linked to the rise of deep learning, but this effect was slower as it comes to the downstream …

In-car human activity recognition is playing a critical role in detecting distracted driving and
improving human-car interaction. Among multiple sensing technologies, WiFi-based in-car …

Prolonged driving on monotonous roads often leads to a reduction in task load that causes
drivers passive fatigue. Passive fatigue results in loss of driver alertness and is detrimental …