Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …

Most objective drowsiness measures have limited ability to provide continuous, accurate
assessment of drowsiness state in operational settings. Spontaneous eye blink parameters …

Fatigue negatively affects the safety and performance of drivers on the road. In fact,
drowsiness and fatigue are the cause of a substantial number of motor vehicle accidents …

The morning commute home is an especially vulnerable time for workers engaged in night
shift work due to the heightened risk of experiencing drowsy driving. One strategy to manage …

Impaired driving performance due to sleep loss is a major contributor to motor-vehicle
crashes, fatalities, and serious injuries. As on-road, fully-instrumented studies of drowsy …

We aimed to characterize objective and subjective sleepiness and driving events during
short work commutes and examine the impact of circadian and homeostatic factors across …

This paper presents efficient EEG system for drowsiness detection. The proposed system is
able to provide stable performances regardless their intrinsic features of drivers and is …

Drowsiness is a risk to human lives in many occupations and activities where full awareness
is essential for the safe operation of systems and vehicles, such as driving a car or flying an …

Introduction Driver fatigue is a major road safety problem. While much is known about the
effects of fatigue and the factors that contribute to it, fatigue on commuter trips has received …

Timely detection of drowsiness in Commercial Motor Vehicle (C MV) operations is necessary
to reduce drowsiness-related CMV crashes. This is relevant for manual driving and …