Spatiotemporal analysis in virtual environments using eigenbehaviors

Abstract

Behavioral structure can be represented by the principal components of the spatiotemporal data set, termed eigen-behaviors. The eigenbehaviors have been used in a number of researches for finding the behavior patterns of users of personalized mobile devices. To utilize eigenbehaviors for analyzing the behavioral structures in virtual environments, a challenging problem is the decomposition of target space in terms of non-convex intrinsic geometric shapes.

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