Narrative review: Do spontaneous eye blink parameters provide a useful assessment of state drowsiness?

JM Cori, C Anderson, SS Soleimanloo… - Sleep medicine …, 2019 - Elsevier
Most objective drowsiness measures have limited ability to provide continuous, accurate
assessment of drowsiness state in operational settings. Spontaneous eye blink parameters …

High risk of near-crash driving events following night-shift work

ML Lee, ME Howard, WJ Horrey… - Proceedings of the …, 2016 - National Acad Sciences
Night-shift workers are at high risk of drowsiness-related motor vehicle crashes as a result of
circadian disruption and sleep restriction. However, the impact of actual night-shift work on …

Physiological signal-based drowsiness detection using machine learning: Singular and hybrid signal approaches

MM Hasan, CN Watling, GS Larue - Journal of safety research, 2022 - Elsevier
Introduction: Drowsiness is one of the main contributors to road-related crashes and
fatalities worldwide. To address this pressing global issue, researchers are continuing to …

Drowsiness measures for commercial motor vehicle operations

AR Sparrow, CM LaJambe… - Accident Analysis & …, 2019 - Elsevier
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 …

Resetting the late timing of 'night owls' has a positive impact on mental health and performance

ER Facer-Childs, B Middleton, DJ Skene, AP Bagshaw - Sleep medicine, 2019 - Elsevier
Background There is conflict between living according to our endogenous biological
rhythms and our external environment, with disruptions resulting in negative consequences …

Accurate detection of acute sleep deprivation using a metabolomic biomarker—A machine learning approach

K Jeppe, S Ftouni, B Nijagal, LK Grant, SW Lockley… - Science …, 2024 - science.org
Sleep deprivation enhances risk for serious injury and fatality on the roads and in
workplaces. To facilitate future management of these risks through advanced detection, we …

Prediction of drowsiness events in night shift workers during morning driving

Y Liang, WJ Horrey, ME Howard, ML Lee… - Accident Analysis & …, 2019 - Elsevier
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 …

On-road driving impairment following sleep deprivation differs according to age

AWT Cai, JE Manousakis, B Singh, J Kuo, KJ Jeppe… - Scientific reports, 2021 - nature.com
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 …

Sleepiness and driving events in shift workers: the impact of circadian and homeostatic factors

MD Mulhall, TL Sletten, M Magee, JE Stone… - Sleep, 2019 - academic.oup.com
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 …

The accuracy of eyelid movement parameters for drowsiness detection

VE Wilkinson, ML Jackson, J Westlake… - Journal of clinical …, 2013 - jcsm.aasm.org
Study Objectives: Drowsiness is a major risk factor for motor vehicle and occupational
accidents. Real-time objective indicators of drowsiness could potentially identify drowsy …