reviewSensorsDec 7, 2012GOLD OA

Detecting Driver Drowsiness Based on Sensors: A Review

Universiti Malaysia Perlis

PubMed
Indexed incrossrefdoajpubmed

Abstract

In recent years, driver drowsiness has been one of the major causes of road accidents and can lead to severe physical injuries, deaths and significant economic losses. Statistics indicate the need of a reliable driver drowsiness detection system which could alert the driver before a mishap happens. Researchers have attempted to determine driver drowsiness using the following measures: (1) vehicle-based measures; (2) behavioral measures and (3) physiological measures. A detailed review on these measures will provide insight on the present systems, issues associated with them and the enhancements that need to be done to make a robust system. In this paper, we review these three measures as to the sensors used…

Citation impact

757
total citations
FWCI
13.57
Percentile
100%
References
80
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Simulation
  • Engineering
UN Sustainable Development Goals
  • Good health and well-being
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