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RNN with Russell's Circumplex Model for Emotion Estimation and Emotional Gesture Generation
http://hdl.handle.net/10098/9995
http://hdl.handle.net/10098/99958e2009d5-1665-47a4-aa13-1c57b93f5383
名前 / ファイル | ライセンス | アクション |
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2519688.pdf (2.7 MB)
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〓 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2016-09-02 | |||||
タイトル | ||||||
タイトル | RNN with Russell's Circumplex Model for Emotion Estimation and Emotional Gesture Generation | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Emotion estimation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | emotional gesture generation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | recurrent neural network | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Russell's Circumplex Model | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Human robot interaction | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
資源タイプ | conference paper | |||||
著者 |
Tsujimoto, Takuya
× Tsujimoto, Takuya× Takahashi, Yasutake× Takeuchi, Shouhei× Yoichiro, Maeda |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Interactive Emotion Communication (IEC) has been proposed[1] and studied so far. IEC consists of three processes, recognition of human emotion, generation of robot emotion, and expression of robot emotion. Conventional studies designed those processes by hand one by one. This report proposes a comprehensive system that learns human emotion recognition and robot emotion expression both. The proposed system is a recurrent neural network introducing Russell's circumplex model explicitly and learns human emotion and corresponding motion pattern simultaneously. We show the validity of the proposed method through experiments. | |||||
書誌情報 |
Proceedings of IEEE World Congress on Computational Intelligence 2016(IEEE WCI 2016) p. 1427-1431, 発行日 2016-07 |
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出版者 | ||||||
出版者 | IEEE | |||||
書誌レコードID | ||||||
識別子タイプ | NCID | |||||
関連識別子 | TD00007893 | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa |