JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 3    Issue : 9    Date : September 2008

The Emotion Sign: Human Motion Analysis Classifying Specific Emotion
Yuichi Kobayashi
Page(s): 20-28
Full Text:
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Abstract
We examine the relationship between human motion and emotions. With recent improvement of
sensing technologies, although precise human motion can be measured, the amount of data
grows enormously. In this paper, we propose a new analysis method which can describe large
amount of data rationally. This method can be used to classify human motions associated with
specific emotions. Our approach to motion data analysis is to apply higher order singular value
decomposition (HOSVD) directly to motion data. HOSVD can generate a compact vector which
specifies each emotion common among people. Experimentally, we obtained motion capture data
for “gait” and “standing” actions related to six basic emotions. Human gait motion was also created
with an animator. For these motion data, our analysis showed that our method can classify the
human motions specific to each emotion.

Index Terms
HOSVD, human motion, motion analysis, classification, emotion, gait action, motion capture data