Zobrazeno 1 - 10 of 32 pro vyhledávání: '"Tetsuko Kitaoka"'
3
Neuro-fuzzy quantification of personal perceptions of facial images based on a limited data set
Autor: Luis Diago, Toshiki Kambayashi, Tetsuko Kitaoka, Ichiro Hagiwara
Publikováno v: IEEE Transactions on Neural NetworksVol. 22(No. 12):2422-2434
Artificial neural networks are nonlinear techniques which typically provide one of the most accurate predictive models perceiving faces in terms of the social impressions they make on people. However, they are often not suitable to be used in many pr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::296cd4ab32560f32f26e7e773ba86c29
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100632929
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6
Development of a System for Automatic Facial Expression Analysis
Autor: Tetsuko Kitaoka, Luis Diago, Ichiro Hagiwara
Publikováno v: Journal of Computational Science and Technology. 2(No. 4):401-412
Automatic recognition of facial expressions can be an important component of natural human-machine interactions. While a lot of samples are desirable for estimating more accurately the feelings of a person (e.g. likeness) about a machine interface, i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e66d96dcfc1c322d7bcb47d491025f48
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100584634
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7
Definition, Detection and Generation of Iyashi Expressions
Autor: Shigeru Yamane, Satoshi Kitazaki, Ichiro Hagiwara, Luis Diago, Tetsuko Kitaoka
Publikováno v: Journal of Computational Science and Technology. 2:413-422
This paper concerns the engineering analysis of “Iyashi”, a peculiar concept to the Japanese, which affect person's heart and may change their expression and behavior. We have integrated the advocator's view of “Iyashi”, analyzed the social b
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8f89b70820679b12736e42698c59cc8f
https://doi.org/10.1299/jcst.2.413
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10
Analyzing KANSEI from facial expressions with fuzzy quantification theory II
Autor: Ichiro Hagiwara, Tetsuko Kitaoka, Luis Diago
Publikováno v: FUZZ-IEEE
There is no direct translation for Kansei into English, however the creator of the Kansei Engineering methodology describes Kansei as ”the consumer's psychological feeling” towards a product. Here we describe an application where a picture presen
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::164e5219cb4f9f014813c972a928e1f8
https://doi.org/10.1109/fuzzy.2009.5277275
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