Presentation	2001/1/26 Nonlinear Mapping of Physical Features onto KANSEI Space Utilizing Neural Network Kenji Suzuki, Hiroshi Yamada, Shuji Hashimoto,
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Abstract(in English)	In this paper, we discuss the relationship between physical features and KANSEI features of facial expression. A "KANSEI" space is constructed by using the distance mapping neural network so that the nonlinear mapping of the physical feature into the semantic space is obtained. From the experimental results, the proposed method is proved to be effective to visualize the relationship of data according to the human impressions. Using the proposed method, it will be also possible to construct an individual semantic space for each subject.
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Keyword(in English)	KANSEI Information / Facial Expression / Semantic Space / Neural Network / MDS
Paper #	HCS2000-47
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Conference Information
Committee	HCS
Conference Date	2001/1/26(1days)
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Paper Information
Registration To	Human Communication Science (HCS)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Nonlinear Mapping of Physical Features onto KANSEI Space Utilizing Neural Network
Sub Title (in English)
Keyword(1)	KANSEI Information
Keyword(2)	Facial Expression
Keyword(3)	Semantic Space
Keyword(4)	Neural Network
Keyword(5)	MDS
1st Author's Name	Kenji Suzuki
1st Author's Affiliation	Dept.of Applied Physics, Waseda University()
2nd Author's Name	Hiroshi Yamada
2nd Author's Affiliation	Dept.of Psychology, Nihon University
3rd Author's Name	Shuji Hashimoto
3rd Author's Affiliation	Dept.of Applied Physics, Waseda University
Date	2001/1/26
Paper #	HCS2000-47
Volume (vol)	vol.100
Number (no)	612
Page	pp.pp.-
#Pages	7
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