To improve the comfort of car occupants or to develop control laws for autonomous vehicles
or Advanced Driver-Assistance Systems, it is essential to monitor drivers' internal state and …

We investigate the task of predicting stress affection from physiological data of users
experiencing simulations of autonomous driving. We approach this task on two levels of …

Thanks to the rise of new wearable and non-intrusive sensor technology, Internet of Things
(IoT) contributes in human daily life improvement. In the context of smart vehicles, human …

Several studies have shown the relevance of biosignals in driver stress recognition. In this
work, we examine something important that has been less frequently explored: We develop …

Stress plays a significant role in fatal accidents, highlighting the importance of timely
monitoring of driver stress to facilitate effective interventions and reduce road accidents …

This paper presents a proof-of-concept implementation of the AI-as-a-Service toolkit
developed within the H2020 TEACHING project and designed to implement an autonomous …

Emotions and stress play a significant role in the genesis of car accidents and it is believed
that the immediate history of an accident is characterized by conditions such as anxiety …

Understanding drivers' behavior under various challenging situations, to avoid accidents, is
considered a key research area in the field of safety for Intelligent Transportation System …

With the increase in road fatalities due to various factors like aggressive driving and road
rage, quantifying and monitoring the stress level of a driver is an important task for the …

We propose a novel method for reliably inducing stress in drivers for the purpose of
generating real-world participant data for machine learning, using both scripted in-vehicle …