Automatic Detection of Unconscious Reactions to Illuminance Changes in Illumination

  • Kensuke Kitamura
  • Noriko Takemura
  • Yoshio Iwai
  • Kosuke Sato
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7378)


In this study, we investigated expressive facial reactions in response to changes in the visual environment and their automatic extraction from sensors, in order to construct a comfortable level of illumination in personal living spaces. We conducted an experiment that showed that expressive facial reactions occur when illumination in the visual environment changes. We captured facial images and manually classified them as expressing or not expressing discomfort. We then conducted a second experiment that showed that automatic image processing can be used to extract and identify these expressive facial reactions. We extracted facial features and used a support vector machine to learn the classification in this experiment.


expressive facial reaction light environment ambient sensing image processing automatic feature extraction sensor networks human-computer interaction 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Kensuke Kitamura
    • 1
  • Noriko Takemura
    • 1
  • Yoshio Iwai
    • 2
  • Kosuke Sato
    • 1
  1. 1.Graduate School of Engineering ScienceOsaka UniversityToyonakaJapan
  2. 2.Graduate School of EngineeringTottori UniversityTottoriJapan

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