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Titlebook: Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems; Luefeng Chen,Min Wu,Kaoru Hirota Book 2021 The Editor

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發(fā)表于 2025-3-21 17:58:13 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems
編輯Luefeng Chen,Min Wu,Kaoru Hirota
視頻videohttp://file.papertrans.cn/309/308627/308627.mp4
概述Provides a comprehensive and up-to-date treatise of the area of emotion recognition and understanding by exposing a spectrum of methodological and algorithmic issues.Discusses implementations and case
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems;  Luefeng Chen,Min Wu,Kaoru Hirota Book 2021 The Editor
描述This book focuses on the key technologies and scientific problems involved in emotional robot systems, such as multimodal emotion recognition (i.e., facial expression/speech/gesture and their multimodal emotion recognition) and emotion intention understanding, and presents the design and application examples of emotional HRI systems. Aiming at the development needs of emotional robots and emotional human–robot interaction (HRI) systems, this book introduces basic concepts, system architecture, and system functions of affective computing and emotional robot systems. With the professionalism of this book, it serves as a useful reference for engineers in affective computing, and graduate students interested in emotion recognition and intention understanding. This book offers the latest approaches to this active research area. It provides readers with the state-of-the-art methods of multimodal emotion recognition, intention understanding, and application examples of emotional HRI systems.
出版日期Book 2021
關(guān)鍵詞Intelligent Robots; Machine Learning; Emotion Robot Systems; Facial Expression Recognition; Speech Emoti
版次1
doihttps://doi.org/10.1007/978-3-030-61577-2
isbn_softcover978-3-030-61579-6
isbn_ebook978-3-030-61577-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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發(fā)表于 2025-3-21 20:25:25 | 只看該作者
Book 2021acial expression/speech/gesture and their multimodal emotion recognition) and emotion intention understanding, and presents the design and application examples of emotional HRI systems. Aiming at the development needs of emotional robots and emotional human–robot interaction (HRI) systems, this book
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發(fā)表于 2025-3-22 03:39:16 | 只看該作者
Vertebrate Eye Gene Regulatory Networks, then the low-level expression features are extracted by using principal component analysis. Finally, the high-level expression semantic features are extracted and recognized by WACNN which is optimized by HGA.
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Weight-Adapted Convolution Neural Network for Facial Expression Recognition, then the low-level expression features are extracted by using principal component analysis. Finally, the high-level expression semantic features are extracted and recognized by WACNN which is optimized by HGA.
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1860-949X al and algorithmic issues.Discusses implementations and caseThis book focuses on the key technologies and scientific problems involved in emotional robot systems, such as multimodal emotion recognition (i.e., facial expression/speech/gesture and their multimodal emotion recognition) and emotion inte
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