The accuracy of eyelid movement parameters for drowsiness detection

Vanessa E Wilkinson, Melinda L Jackson, Justine Westlake, Bronwyn Stevens, Maree Barnes, Philip Swann, Shanthakumar M W Rajaratnam, Mark Howard

Research output: Contribution to journalArticleResearchpeer-review

55 Citations (Scopus)


Drowsiness is a major risk factor for motor vehicle and occupational accidents. Real-time objective indicators of drowsiness could potentially identify drowsy individuals with the goal of intervening before an accident occurs. Several ocular measures are promising objective indicators of drowsiness; however, there is a lack of studies evaluating their accuracy for detecting behavioral impairment due to drowsiness in real time.
Original languageEnglish
Pages (from-to)1315 - 1324
Number of pages10
JournalJournal of Clinical Sleep Medicine
Issue number12
Publication statusPublished - 2013

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