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.
This work is supported by Seondo project of MIC in Korea.
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© 2005 Springer-Verlag Berlin Heidelberg
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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. https://doi.org/10.1007/11573548_76
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DOI: https://doi.org/10.1007/11573548_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29621-8
Online ISBN: 978-3-540-32273-3
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