In recent years, driver drowsiness has been one of the major causes of road accidents and
can lead to severe physical injuries, deaths and significant economic losses. Statistics …

In emergency situations, actions that save lives and limit the impact of hazards are crucial. In
order to act, situational awareness is needed to decide what to do. Geolocalized photos and …

Objective: Driver drowsiness detection is a key technology that can prevent fatal car
accidents caused by drowsy driving. The present work proposes a driver drowsiness …

Drowsy driving is one of the main causes of road accidents. Accurate and reliable detection
of drivers' drowsiness is significantly important to prevent drowsiness-related accidents. In …

The problem addressed in this paper is the detection of drowsiness based on signals
acquired using non-invasive and wearable sensors. A combination of signals from …

Background: The detection of driver fatigue as a cause of sleepiness is a key technology
capable of preventing fatal accidents. This research uses a fatigue-related sleepiness …

Unobtrusive monitoring of vital signs is relevant for both medical (patient monitoring) and
non-medical applications (eg, stress and fatigue monitoring). In this paper, we focus on the …

Photoplethysmography (PPG) is a simple, yet powerful technique to study blood volume
changes by measuring light intensity variations. However, PPG is severely affected by …

A system for determining distress of a driver of a vehicle is provided, comprising a plurality of
sensors, including interior vehicle image sensors, an interior vehicle audio sensor, vehicle …

Drowsy driving detection is crucial for avoiding serious traffic accidents. Changes in sleep
conditions affect the autonomic nervous system (ANS) and, subsequently, heart rate …