Development of a drowsiness warning system based on the fuzzy logic images analysis

Jian-Da Wu, Tuo Rung Chen

Research output: Contribution to journalArticle

28 Citations (Scopus)

Abstract

In the present study, a vehicle driver drowsiness warning system using image processing technique with fuzzy logic inference is developed and investigated. The principle of the proposed system is based on facial images analysis for warning the driver of drowsiness or inattention to prevent traffic accidents. The facial images of driver are taken by a CCD camera which is installed on the dashboard in front of the driver. A fuzzy logic algorithm and an inference are proposed to determine the level of fatigue by measuring the blinding duration and its frequency, and warn the driver accordingly. The experimental works are carried to evaluate the effect of the proposed system for drowsiness warning under various operation conditions. The experimental results indicated that the proposed expert system is effective for increasing safe in drive. The detail of image processing technique and the characteristic also is present in this paper.

Original languageEnglish
Pages (from-to)1556-1561
Number of pages6
JournalExpert Systems with Applications
Volume34
Issue number2
DOIs
Publication statusPublished - 2008 Feb 1

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Alarm systems
Image analysis
Fuzzy logic
Image processing
Highway accidents
CCD cameras
Expert systems
Fatigue of materials

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

Cite this

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Development of a drowsiness warning system based on the fuzzy logic images analysis. / Wu, Jian-Da; Chen, Tuo Rung.

In: Expert Systems with Applications, Vol. 34, No. 2, 01.02.2008, p. 1556-1561.

Research output: Contribution to journalArticle

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