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Fatigue Driving Influence Research and Assessment

  • Gang Wu
  • Zhangwei Liu
  • Xiaodong Pan
  • Feng ChenEmail author
  • Meng Xu
  • Deshan Feng
  • Zhiguang Xia
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 484)

Abstract

Identification of different driving fatigue levels is critical for driving fatigue prediction and prevention, which will also promote the research and application of related driving assistance system. Although the driver’s subjective fatigue feeling can be directly obtained by questionnaires, it varies a lot among different drivers and definition of unusual fatigue levels are sometimes arbitrarily determined. In order to get a relatively objective driver fatigue evaluation criterion, this study adopts a novel method which combines subjective fatigue level evaluation method (KSS) with driver face state video recognition technology to assess driver’s fatigue level. Based on the analysis results, a new model was used to obtain the threshold value of driver fatigue levels, and the evaluation criteria of fatigue levels were established based on driver face state video recognition technology. And it is found that this method is more precise than that based on PERCLOS only.

Keywords

Driver fatigue evaluation Physiological features Fatigue level 

Notes

Acknowledgments

This research was jointly sponsored by Project 51578417 supported by the National Natural Science Foundation of China and the Fundamental Research Funds for the Central Universities.

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Gang Wu
    • 1
  • Zhangwei Liu
    • 2
  • Xiaodong Pan
    • 1
  • Feng Chen
    • 1
    Email author
  • Meng Xu
    • 1
  • Deshan Feng
    • 1
  • Zhiguang Xia
    • 1
  1. 1.Laboratory of Road and Traffic Engineering of the Ministry of EducationTongji UniversityShanghaiChina
  2. 2.Shenzhen Urban Transport Planning CenterLuohu District ShenzhenChina

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