Journal article
Prediction of drowsiness events in night shift workers during morning driving
Yulan Liang, William J Horrey, Mark E Howard, Michael L Lee, Clare Anderson, Michael S Shreeve, Conor S O'Brien, Charles A Czeisler
ACCIDENT ANALYSIS AND PREVENTION | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2019
Abstract
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 this risk is to monitor the driver's state in real time using an in vehicle monitoring system and to alert drivers when they are becoming sleepy. The primary objective of this study is to build and evaluate predictive models for drowsiness events occurring in morning drives using a variety of physiological and performance data gathered under a real driving scenario. We used data collected from 16 night shift workers who drove an instrumented vehicle for approximately two hours on a test track on two occasions: afte..
View full abstractGrants
Awarded by National Institutes of Health Award
Awarded by National Space Biomedical Research Institute Award
Awarded by Department of Homeland Security Federal Emergency Management Agency Assistance
Awarded by National Heart, Lung and Blood Institute Cooperative Agreement
Awarded by National Institute of Occupational Safety and Health
Awarded by National Institute on Aging
Funding Acknowledgements
This study was supported by a grant from the Institute of Breathing and Sleep Research (to M.E.H.); by Liberty Mutual Insurance; National Institutes of Health Award 5T32HL7901-14 (to M.L.L.); National Space Biomedical Research Institute Award PF03002 (to M.L.L.); Department of Homeland Security Federal Emergency Management Agency Assistance to Firefighter Grant EMW-2010-FP-00521 (to C.A.C.); National Heart, Lung and Blood Institute Cooperative Agreement U01-HL111478 (to C.A.C.); National Institute of Occupational Safety and Health Grant R01-0H0103001 (to C.A.C.); National Institute on Aging Grant R01-AG044416 (to C.A.C.); and an endowed professorship provided to Harvard Medical School by Cephalon, Inc. (to C.A.C.). The authors acknowledge the contributions of Joseph Ronda for his technical expertise, and Brandon Lockyer for scoring of the EEG and EOG data.