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

  • Ahyoung Choi
  • Woontack Woo
Conference paper

DOI: 10.1007/11573548_76

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3784)
Cite this paper as:
Choi A., Woo W. (2005) Physiological Sensing and Feature Extraction for Emotion Recognition by Exploiting Acupuncture Spots. In: Tao J., Tan T., Picard R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg

Abstract

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

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

Personalised recommendations