Physiological Sensing and Feature Extraction for Emotion Recognition by Exploiting Acupuncture Spots

  • Ahyoung Choi
  • Woontack Woo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3784)


Previous emotion recognition systems have mainly focused on pattern classification, rather than utilizing sensing technologies or feature extraction methods. This paper introduces a method of physiological sensing and feature extraction for emotion recognition that is based on an oriental medicine approach. The specific points for affective sensing were experimentally determine, in which it was found that skin conductance measurements of the forearm region correlate well with acupuncture spots. Features are then extracted by the same way to interpret pulsation signals in diagnosis. We found that the proposed sensing and feature extraction method benefits the recognition of emotion with a neural network classifier.


Feature Extraction Emotion Recognition Skin Conductance Feature Extraction Method Physiological Sensing 
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  1. 1.
    Picard, R.W., et al.: Toward Machine Emotional Intelligence: Analysis of Affective Physiological Stat. IEEE Trans on pattern analysis and machine intelligence 23(10) (2001)Google Scholar
  2. 2.
    Chen, D., Vertegaal, R.: Using Mental Load for Managing Interruptions In Physiologically Attentive User Interfaces. In: Extended Abstracts of ACM CHI 2004 Conference on Human Factors in Computing Systems, Vienna, Austria (2004)Google Scholar
  3. 3.
    Automobile Industry Action Group(AIAG). Measurement system analysis reference manual, 2nd edn. ASQC Quality PressGoogle Scholar
  4. 4.
    Poon, C.S., Choy, T.T.C., Koide, F.T.: A Reliable Method for Locating Electroperme-able Points on the Skin Surface. Am. J. Chin. Med. 8(3), 283–289 (1980)CrossRefGoogle Scholar
  5. 5.
    Maciocia, G.: Foundations of Chinese Medicine: A Comprehensive Text for Acupuncturists and Herbalists. Churchill livingstone (1989)Google Scholar
  6. 6.
    Goldstein, M.: Classical Five-Element Acupuncture. Jacksonville Medicine (2000)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ahyoung Choi
    • 1
  • Woontack Woo
    • 1
  1. 1.GIST U-VR Lab.GwangjuS.Korea

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