Electric vehicles (EVs) have gained significant attention in recent years due to their potential
to reduce greenhouse gas emissions and improve energy efficiency. An EV's main source of …

Forecasts about the aging trend of the world population agree on identifying increased life
expectancy as a serious risk factor for the financial sustainability of social healthcare …

This paper introduces a transformative edge computing-based approach for enhancing
driver attention and road safety using EEG-driven deep reinforcement learning (DRL). As …

Driver state constitutes a significant factor affecting traffic safety, and accurate detection of
driver state can significantly enhance driving safety. Therefore, the objective of this …

Not so many consumer devices are available for minimally invasive monitoring of Skin
Conductance (SC), differently from what happens for other physiological signals. In this …

Scheduling significantly contributes to fatigue among high-speed rail (HSR) drivers,
impacting both driving performance and safety. This study aims to analyse distinctiveness …

Driver drowsiness detection is a critical field of research within automotive safety, aimed at
identifying signs of fatigue in drivers to prevent accidents. Drowsiness impairs a driver's …

This research introduces the second version of ANGELS, an embedded system designed to
analyze PPG and EDA signals in the context of driver monitoring. ANGELS is a cost-effective …

Within the framework of the assisted systems for automotive applications, considerable
research has been employed to monitoring the driver's attention level in order to assess the …

The article discusses the possibility of using smartwatches in transport companies. The
popularity of the introduction of wearables among professional drivers will gradually …