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Stationary gaze entropy predicts lane departure events in sleep-deprived drivers
Performance decrement associated with sleep deprivation is a leading contributor to traffic accidents and fatalities. While current research has focused on eye blink parameters as physiological indicators of driver drowsiness, little is understood of how gaze behaviour alters as a result of sleep de...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797225/ https://www.ncbi.nlm.nih.gov/pubmed/29396509 http://dx.doi.org/10.1038/s41598-018-20588-7 |
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author | Shiferaw, Brook A. Downey, Luke A. Westlake, Justine Stevens, Bronwyn Rajaratnam, Shantha M. W. Berlowitz, David J. Swann, Phillip Howard, Mark E. |
author_facet | Shiferaw, Brook A. Downey, Luke A. Westlake, Justine Stevens, Bronwyn Rajaratnam, Shantha M. W. Berlowitz, David J. Swann, Phillip Howard, Mark E. |
author_sort | Shiferaw, Brook A. |
collection | PubMed |
description | Performance decrement associated with sleep deprivation is a leading contributor to traffic accidents and fatalities. While current research has focused on eye blink parameters as physiological indicators of driver drowsiness, little is understood of how gaze behaviour alters as a result of sleep deprivation. In particular, the effect of sleep deprivation on gaze entropy has not been previously examined. In this randomised, repeated measures study, 9 (4 male, 5 female) healthy participants completed two driving sessions in a fully instrumented vehicle (1 after a night of sleep deprivation and 1 after normal sleep) on a closed track, during which eye movement activity and lane departure events were recorded. Following sleep deprivation, the rate of fixations reduced while blink rate and duration as well as saccade amplitude increased. In addition, stationary and transition entropy of gaze also increased following sleep deprivation as well as with amount of time driven. An increase in stationary gaze entropy in particular was associated with higher odds of a lane departure event occurrence. These results highlight how fatigue induced by sleep deprivation and time-on-task effects can impair drivers’ visual awareness through disruption of gaze distribution and scanning patterns. |
format | Online Article Text |
id | pubmed-5797225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57972252018-02-13 Stationary gaze entropy predicts lane departure events in sleep-deprived drivers Shiferaw, Brook A. Downey, Luke A. Westlake, Justine Stevens, Bronwyn Rajaratnam, Shantha M. W. Berlowitz, David J. Swann, Phillip Howard, Mark E. Sci Rep Article Performance decrement associated with sleep deprivation is a leading contributor to traffic accidents and fatalities. While current research has focused on eye blink parameters as physiological indicators of driver drowsiness, little is understood of how gaze behaviour alters as a result of sleep deprivation. In particular, the effect of sleep deprivation on gaze entropy has not been previously examined. In this randomised, repeated measures study, 9 (4 male, 5 female) healthy participants completed two driving sessions in a fully instrumented vehicle (1 after a night of sleep deprivation and 1 after normal sleep) on a closed track, during which eye movement activity and lane departure events were recorded. Following sleep deprivation, the rate of fixations reduced while blink rate and duration as well as saccade amplitude increased. In addition, stationary and transition entropy of gaze also increased following sleep deprivation as well as with amount of time driven. An increase in stationary gaze entropy in particular was associated with higher odds of a lane departure event occurrence. These results highlight how fatigue induced by sleep deprivation and time-on-task effects can impair drivers’ visual awareness through disruption of gaze distribution and scanning patterns. Nature Publishing Group UK 2018-02-02 /pmc/articles/PMC5797225/ /pubmed/29396509 http://dx.doi.org/10.1038/s41598-018-20588-7 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Shiferaw, Brook A. Downey, Luke A. Westlake, Justine Stevens, Bronwyn Rajaratnam, Shantha M. W. Berlowitz, David J. Swann, Phillip Howard, Mark E. Stationary gaze entropy predicts lane departure events in sleep-deprived drivers |
title | Stationary gaze entropy predicts lane departure events in sleep-deprived drivers |
title_full | Stationary gaze entropy predicts lane departure events in sleep-deprived drivers |
title_fullStr | Stationary gaze entropy predicts lane departure events in sleep-deprived drivers |
title_full_unstemmed | Stationary gaze entropy predicts lane departure events in sleep-deprived drivers |
title_short | Stationary gaze entropy predicts lane departure events in sleep-deprived drivers |
title_sort | stationary gaze entropy predicts lane departure events in sleep-deprived drivers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797225/ https://www.ncbi.nlm.nih.gov/pubmed/29396509 http://dx.doi.org/10.1038/s41598-018-20588-7 |
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