Abstract
Human behavior has a structure that consists of similarities and differences. Similarities are motion patterns, which are observed universally and are independent of individuals. Differences are particular characters found in individual motions and can represent identities. We proposed a method for extracting similarities and differences in human behavior by using singular value decomposition. Moreover, we described how to analyze the extracted characteristic motions. We applied our methods to several types of human behavior. The data obtained by applying our method proved that similarities and differences in human behavior can be extracted. We also analyzed the extracted characteristic motions in detail.
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