Journal article

The utility of automated measures of ocular metrics for detecting driver drowsiness during extended wakefulness

Melinda L Jackson, Gerard A Kennedy, Catherine Clarke, Melissa Gullo, Philip Swann, Luke A Downey, Arnie C Hayley, Rob J Pierce, Mark E Howard



Slowed eyelid closure coupled with increased duration and frequency of closure is associated with drowsiness. This study assessed the utility of two devices for automated measurement of slow eyelid closure in a standard poor performance condition (alcohol) and following 12-h sleep deprivation. Twenty-two healthy participants (mean age=20.8 (SD 1.9) years) with no history of sleep disorders participated in the study. Participants underwent one baseline and one counterbalanced session each over two weeks; one 24-hour period of sleep deprivation, and one daytime session during which alcohol was consumed after a normal night of sleep. Participants completed a test battery consisting of a 30-min ..

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University of Melbourne Researchers


Awarded by National Health and Medical Research Council (NHMRC)

Awarded by NH&MRC early career fellowship

Funding Acknowledgements

This study was supported by funding from Vicroads, Melbourne Australia. The Optalert (TM) device was loaned by Sleep Diagnostics for the purpose of the study. Dr. Luke Downey is supported by a National Health and Medical Research Council (NH&MRC) biomedical fellowship (APP1054279). Dr. Melinda L. Jackson is supported by an NH&MRC early career fellowship (APP1036292).