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Paper Abstract and Keywords
Presentation 2009-12-12 09:10
Relationship between shape features and subjective assessment of apple
Youhei Ogawa, Kazunori Shidoji (Kyushu Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) The evaluation of food depends not only on the taste and the smell but also on the appearances. The purpose of this research is to establish the method of predicting subjective evaluation according to the appearance of an apple. Appearances were quantified by using the elliptic Fourier analysis and the principal component analysis. Though the subjective assessment was forecast from the shape feature by using the multiple regression analysis, it failed. The result by neural network showed that prediction was improved.
Keyword (in Japanese) (See Japanese page) 
(in English) Kansei information processing / Ellipse fourier analysis / Multiple regression analysis / Neural network / / / /  
Reference Info. IEICE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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Conference Information
Committee HIP HCS MVE WIT  
Conference Date 2009-12-10 - 2009-12-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Sappolo Convention Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Human Communication Group Symposium 
Paper Information
Registration To HIP 
Conference Code 2009-12-HIP-HCS-MVE-WIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Relationship between shape features and subjective assessment of apple 
Sub Title (in English)  
Keyword(1) Kansei information processing  
Keyword(2) Ellipse fourier analysis  
Keyword(3) Multiple regression analysis  
Keyword(4) Neural network  
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1st Author's Name Youhei Ogawa  
1st Author's Affiliation Kyushu University (Kyushu Univ.)
2nd Author's Name Kazunori Shidoji  
2nd Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker
Date Time 2009-12-12 09:10:00 
Presentation Time 25 
Registration for HIP 
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