Subjective and indirect methods to observe driver’s drowsiness and alertness: An overview

Nor Kamaliana Khamis, Baba Md Deros, Dieter Schramm, Benjamin Hesse, Mohd. Zaki Nuawi, Faizul Rizal Ismail

Research output: Contribution to journalArticle

Abstract

The measurement of drivers’ workload has great interest these days due to the following reasons: high numbers of accidents seemingly ineradicable, very costly, and largely attributable to the human factor. The objective of this review is to assess the current status of fatigue performance and detection technology research and to identify any pertinent issues. Twenty-six relevant studies were identified and chosen from electronic databases, dating as far back as 1997. Fatigue, drowsiness, alertness, sleepiness, subjective, direct method and driver were the keyword search terms for this paper. Past studies demonstrated various purposes and implementation of subjective and indirect assessment among the driver for evaluating fatigue. It provides a better understanding for future researchers and industry to deal with fatigue issues among drivers. This review will provide a critical discussion on the designs used, discuss the findings in the search of directions for future studies, as well as provide insights into the use of counter measures for preventing fatigue-related accidents.

Original languageEnglish
Pages (from-to)28-39
Number of pages12
JournalJournal of Engineering Science and Technology
Volume11
Publication statusPublished - 1 Apr 2016

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Fatigue of materials
Accidents
Human engineering
Industry

Keywords

  • Alertness
  • Driver
  • Drowsiness
  • Fatigue
  • Sleepiness
  • Subjective and indirect method

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Subjective and indirect methods to observe driver’s drowsiness and alertness : An overview. / Khamis, Nor Kamaliana; Md Deros, Baba; Schramm, Dieter; Hesse, Benjamin; Nuawi, Mohd. Zaki; Ismail, Faizul Rizal.

In: Journal of Engineering Science and Technology, Vol. 11, 01.04.2016, p. 28-39.

Research output: Contribution to journalArticle

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