Color Preference and Personality Modeling Using Fuzzy Reasoning Rule

Human ability to perceive colors is a very subjective matter. The task of measuring and analyzing appropriate colors from colored images, which matches human sensitivity for perceiving colors has been a challenge to the research community. In this paper we propose a novel approach, which involves th...

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Bibliographic Details
Published inComputational Science and Its Applications - ICCSA 2006 pp. 887 - 894
Main Authors Oh, Am-Suk, Lho, Tae-Jung, Kwon, Jang-Woo, Kim, Kwang-Baek
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2006
Springer
SeriesLecture Notes in Computer Science
Subjects
Algorithmics. Computability. Computer arithmetics
Applied sciences
Artificial intelligence
Color Palate
Color Preference
Computer science; control theory; systems
Exact sciences and technology
Fuzzy Logic
Membership Function
Pattern recognition. Digital image processing. Computational geometry
Personality Modeling
Theoretical computing
Fuzzy logic
Preference
Personality
Artificial intelligence
Modeling
Color image
Intelligent system
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Summary:Human ability to perceive colors is a very subjective matter. The task of measuring and analyzing appropriate colors from colored images, which matches human sensitivity for perceiving colors has been a challenge to the research community. In this paper we propose a novel approach, which involves the use of fuzzy logic and reasoning to analyze the RGB color intensities extracted from sensory inputs to understand human sensitivity for various colors. Based on this approach, an intelligent system has been built to predict the subject’s personality. The results of experiments conducted with this system are discussed in the paper.
ISBN:9783540340799
3540340793
354034070X
9783540340706
ISSN:0302-9743
1611-3349
DOI:10.1007/11751649_97