Fit-for-duty test for estimation of drivers’ sleepiness level: Eye movements improve the sleep/wake predictor-Reference-Cited by-同舟云学术

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Fit-for-duty test for estimation of drivers’ sleepiness level: Eye movements improve the sleep/wake predictor

Published:2013-01 Issue: Volume:26 Page:20-32
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Ahlstrom Christer,Nyström Marcus,Holmqvist Kenneth,Fors Carina,Sandberg David,Anund Anna,Kecklund Göran,Åkerstedt Torbjörn

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference60 articles.

1. Consensus statement: fatigue and accidents in transport operations;Åkerstedt;J. Sleep Res.,2000

2. Subjective and objective sleepiness in the active individual;Åkerstedt;Int. J. Neurosci.,1990

3. Predictions from the three-process model of alertness;Åkerstedt;Aviat. Space Environ. Med.,2004

4. Predicting road crashes from a mathematical model of alertness regulation – the sleep/wake predictor;Åkerstedt;Accid. Anal. Prev.,2008

5. Reaction of sleepiness indicators to partial sleep deprivation, time of day and time on task in a driving simulator – the DROWSI project;Åkerstedt;J. Sleep Res.,2010

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1. Eye tracking measures of bicyclists’ behavior and perception: A systematic review;Transportation Research Part F: Traffic Psychology and Behaviour;2024-11

2. Driving Fatigue in Extra-Long Highway Tunnels and a Bayesian Networks-Based Fatigue Detection Method;Transportation Research Record: Journal of the Transportation Research Board;2024-06-08

3. Fatigue among Indonesian Freight-Train Drivers: A study utilizing eye blink duration and changes in facial expressions;Transportation Research Interdisciplinary Perspectives;2024-03

4. A Systematic Review on Driver Drowsiness Detection Using Eye Activity Measures;IEEE Access;2024

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