Seonah Mok

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This paper is presents an artwork that is concerned with the interactions among people rather than the interaction between an audience and the artwork. We visualize the physical motion variations from the interactions among different participants using Kinect-based depth estimation and video tracking algorithms. The proposed work can visualize the affective(More)
We present an exhibition information model (EIM) by analyzing quantitative data for curators to configure the exhibition space. The proposed method consists of three steps: i) probabilistic interest prediction model (IPM), ii) mutual interest-based time prediction, and iii) spatial analysis for path prediction. The proposed method can be simulated in(More)
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