| Item type |
会議発表論文 / Conference Paper(1) |
| 公開日 |
2023-03-02 |
| タイトル |
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|
タイトル |
ニューラルネットワークによる高齢者向け表情推論システム |
| タイトル |
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|
タイトル |
Construction of a dialog system with emotions for elderly persons by neural networks |
|
言語 |
en |
| 言語 |
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言語 |
jpn |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
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資源タイプ |
conference paper |
| 著者 |
市村, 匠
目良, 和也
山下, 利之
ICHIMURA, Takumi
MERA, Kazuya
YAMASHITA, Toshiyuki
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
We developed an interactive system with dialog function that can analyze emotions of the user and response to him / her with facial expressions. The dialog system is due to our Emotion Generating Calculations (EGC) method based on the Elliot's Emotion Eliciting Condition Theory. The proposed method can judge whether an event is pleasant or not and obtain each attribute value for 20 various emotions under that situation. Successfully, we consider adjective relation and adverbial phrases and we input their attributes into the EGC, such that we can evaluate strength of each emotion.
This system can depict the face according to the context of conversation. Although each attribute value in EGC shows one aspect of feeling we must integrate those attributes to express human-like emotions. Then, we applied a fuzzy reasoning model for selecting the face proposed by T. Yamashita. In this method, nine faces with three levels of brow and eye deflection and three levels of mouth deflection were used to construct the fuzzy reasoning model. In this study, we extend Yamashita's system with eight emotions to a sophisticated system with 20 emotions by neural network. |
| 書誌情報 |
第16回ファジィシステムシンポジウム講演論文集
p. 605-608,
発行日 2000
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| 出版者 |
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出版者 |
日本知能情報ファジィ学会 |
| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
13419080 |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
|
収録物識別子 |
AN10359394 |
| 権利 |
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|
権利情報 |
Copyright (c) 2001 日本ファジィ学会 |
| 関連サイト |
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識別子タイプ |
URI |
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関連識別子 |
http://www.j-soft.org/ |
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関連名称 |
日本知能情報ファジィ学会 |
| フォーマット |
|
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内容記述タイプ |
Other |
|
内容記述 |
application/pdf |
| 著者版フラグ |
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|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
FSS16_605.pdf (819.1 kB)
