Physiological sensing and feature extraction for emotion recognition by exploiting acupuncture spots

Authors:
Ahyoung Choi;Woontack Woo
Affiliations:
GIST U-VR Lab., Gwangju, S.Korea;GIST U-VR Lab., Gwangju, S.Korea
Venue:
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Year:
2005

Citing 2
Cited 0

Toward Machine Emotional Intelligence: Analysis of Affective Physiological State

IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
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CHI '04 Extended Abstracts on Human Factors in Computing Systems

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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.