• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1203-1208
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• 2016

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.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.343-345
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• 2016

본 논문에서는 아동이 그린 그림에 대해 ART2 알고리즘을 적용하여 색채 정보를 군집화하고, 군집화 된 색채 정보의 중심 벡터 값들을 퍼지화 한다. 퍼지화 된 색채 정보의 소속도를 퍼지 추론 규칙에 적용한 후에 비퍼지화 한다. 비퍼지화 된 결과를 적용하여 아동의 심리 상태를 분석한다. 제안된 방법을 실험하여 알슐러와 해트윅(Alschuler and Hattwick)의 색채에 따른 심리 상태와 비교한 결과, 제안된 심리 분석 방법이 알슐러와 해트윅의 색채에 따른 심리 상태 분석 결과와 거의 일치하는 것을 확인하였다.