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Dataset Information

Eye-Blink Parameters Detect On-Road Track-Driving Impairment Following Severe Sleep Deprivation.


ABSTRACT:

Study objectives

Drowsiness leads to 20% of fatal road crashes, while inability to assess drowsiness has hampered drowsiness interventions. This study examined the accuracy of eye-blink parameters for detecting drowsiness related driving impairment in real time.

Methods

Twelve participants undertook two sessions of 2-hour track-driving in an instrumented vehicle following a normal night's sleep or 32 to 34 hours of extended wake in a randomized crossover design. Eye-blink parameters and lane excursion events were monitored continuously.

Results

Sleep deprivation increased the rates of out-of-lane driving events and early drive terminations. Episodes of prolonged eyelid closures, blink duration, the ratio of amplitude to velocity of eyelid closure, and John's Drowsines

SUBMITTER: Shekari Soleimanloo S 

PROVIDER: S-EPMC6760410 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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