Affective computing intends to train computers with human-like abilities. It is a
multidisciplinary research field, in which interrelated domains like sociology, psychology …

Digital and information technologies are heavily pervading several aspects of human
activities, improving our life quality. Health systems are undergoing a real technological …

Driver fatigue and stress significantly contribute to higher number of car accidents
worldwide. Although, different detection approaches have been already commercialized and …

Neural wearables can enable life-saving drowsiness and health monitoring for pilots and
drivers. While existing in-cabin sensors may provide alerts, wearables can enable …

This paper investigated the feasibility and reliability of employing various physiological
measures-for determining drivers' fatigue levels, which may ultimately lead to a solution for …

The majority of car accidents worldwide are caused by drowsy drivers. Therefore, it is
important to be able to detect when a driver is starting to feel drowsy in order to warn them …

Drowsy driving poses a significant risk to road safety, necessitating the development of
reliable drowsiness detection systems. In particular, the advancement of Artificial …

The majority of road traffic crashes worldwide are caused by driver drowsiness. For this
reason, it is necessary to recognize an incoming drowsiness status for alerting the driver as …

Researchers increasingly use electrodermal activity (EDA) to assess emotional states,
develo** novel applications that include disorder recognition, adaptive therapy, and …

We developed a method for automated detection of motion and noise artifacts (MNA) in
electrodermal activity (EDA) signals, based on a one-dimensional U-Net architecture. EDA …