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A contextual and temporal algorithm for driver drowsiness detection

  • Published:2018-04 Issue: Volume:113 Page:25-37
  • ISSN:0001-4575
  • Container-title:Accident Analysis & Prevention
  • language:en
  • Short-container-title:Accident Analysis & Prevention

Author:

McDonald Anthony D.,Lee John D.,Schwarz Chris,Brown Timothy L.

Funder

National Highway Traffic Safety Administration

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference80 articles.

1. Real-time driver drowsiness feedback improves driver alertness and self-reported driving performance;Aidman;Accid. Anal. Prev.,2015

2. A hybrid approach to detect driver drowsiness utilizing physiological signals to improve system performance and wearability;Awais;Sensors,2017

3. The challenges and opportunities of technological approaches to fatigue management;Balkin;Accid. Anal. Prev.,2011

4. Driver fatigue;Brown;Hum. Factors J. the Hum. Factors Ergon. Soc.,1994

5. Assessing the feasibility of vehicle-based sensors to detect drowsy driving;Brown,2014

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