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Reading Children`s Mind from Digital Drawings based on Dominant Color Analysis using ART2 Clustering and Fuzzy Logic
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 Title & Authors
Reading Children`s Mind from Digital Drawings based on Dominant Color Analysis using ART2 Clustering and Fuzzy Logic
Kim, Kwang-baek;
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 Abstract
For young children who are not spontaneous or not accurate in verbal communication of their emotions and experiences, drawing is a good means of expressing their status in mind and thus drawing analysis with chromatics is a traditional tool for art therapy. Recently, children enjoy digital drawing via painting tools thus there is a growing needs to develop an automatic digital drawing analysis tool based on chromatics and art therapy theory. In this paper, we propose such an analyzing tool based on dominant color analysis. Technically, we use ART2 clustering and fuzzy logic to understand the fuzziness of subjects` status of mind expressed in their digital drawings. The frequency of color usage is fuzzified with respect to the membership functions. After applying fuzzy logic to this fuzzified central vector, we determine the dominant color and supporting colors from the digital drawings and children`s status of mind is then analyzed according to the color-personality relationships based on Alschuler and Hattwick`s historical researches.
 Keywords
Alschuler and Hattwick;ART2;Art Theraphy;Dominant Color Analysis;Fuzzy Inference;
 Language
Korean
 Cited by
 References
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