Driver-Independent Assessment of Arousal States from Video Sequences Based on the Classification of Eyeblink Patterns

@article{Nopsuwanchai2008DriverIndependentAO,
  title={Driver-Independent Assessment of Arousal States from Video Sequences Based on the Classification of Eyeblink Patterns},
  author={Roongroj Nopsuwanchai and Yoshihiro Noguchi and Mieko Ohsuga and Yoshiyuki Kamakura and Yoshio Inoue},
  journal={2008 11th International IEEE Conference on Intelligent Transportation Systems},
  year={2008},
  pages={917-924}
}
In this paper, we propose a novel approach to assess driver's arousal states based on the analysis of eyeblink characteristics. We focus on a non-intrusive and driver-independent system. We use Hidden Markov Models (HMMs) to classify eyeblink patterns from the video of the drivers, and the arousal states are estimated from the histogram variations of these typical blink patterns. A strong correlation between the eyeblink patterns derived from this approach and those derived from the recorded… CONTINUE READING

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The Estimation of Driver’s Arousal State (1) - Based on Facial Expression and Physiological Indices

  • M. Ohsuga, Y. Kamakura, Y. Inoue, Y. Noguchi, R. Nopsuwanchai
  • Proc. of the 2008 JSAE Annual Congress (in…
  • 2008
3 Excerpts

The Assessment of Drivers Arousal States from Video Sequences Based on the Classification of Eye-Blink Patterns

  • R. Nopsuwanchai, Y. Noguchi, M. Ohsuga, Y. Kamakura
  • Trans. of Society of Automotive Engineers of…
  • 2007
2 Excerpts

Vehicle Control and Drowsiness

  • A. Kircher, M. Uddman, J. Sandin
  • Tech. Rep., M922A-2002, Swedish National Road and…
  • 2002
3 Excerpts

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