Skip to main navigation Skip to search Skip to main content

Image acquisition of drivers' fatigue state based on fuzzy evaluation

  • Xue Mei Chen*
  • , Zhong Hua Wei
  • , Li Gao
  • *Corresponding author for this work
  • Beijing University of Technology
  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The research on monitoring and predicting drivers' fatigue state has remarkable effect on prevention of traffic accidents, using the CCD image sensor camera as the image acquisition device of driver's face and the 940nm infrared emitting diode as the light supplementary device and 3-points light supplementary had been utilized, the light supplementary system had been optimized by the experiment of infrared light supplementary which proceeded by means of combining the orthogonal experiment and expert fuzzy evaluation. The research result makes great sense to the monitoring of drivers' fatigue state and traffic safety.

Original languageEnglish
Title of host publicationFrontiers of Manufacturing and Design Science II
Pages4290-4294
Number of pages5
DOIs
Publication statusPublished - 2012
Event2nd International Conference on Frontiers of Manufacturing and Design Science, ICFMD 2011 - Taichung, Taiwan, Province of China
Duration: 11 Dec 201113 Dec 2011

Publication series

NameApplied Mechanics and Materials
Volume121-126
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2nd International Conference on Frontiers of Manufacturing and Design Science, ICFMD 2011
Country/TerritoryTaiwan, Province of China
CityTaichung
Period11/12/1113/12/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Drivers
  • Face
  • Fatigue
  • Fuzzy Evaluation

Fingerprint

Dive into the research topics of 'Image acquisition of drivers' fatigue state based on fuzzy evaluation'. Together they form a unique fingerprint.

Cite this