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  • 1
    UID:
    b3kat_BV047047684
    Umfang: 1 Online-Ressource (XI, 247 Seiten) , Illustrationen
    ISBN: 9783030615772
    Serie: Studies in Computational Intelligence volume 926
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-61576-5
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-61578-9
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-61579-6
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Mensch-Maschine-Kommunikation
    URL: Volltext  (URL des Erstveröffentlichers)
    Mehr zum Autor: Pedrycz, Witold 1953-
    Mehr zum Autor: Hirota, Kaoru 1950-
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    UID:
    almahu_BV047129410
    Umfang: xi, 247 Seiten : , Illustrationen, Diagramme.
    ISBN: 978-3-030-61576-5
    Serie: Studies in computational intelligence volume 926
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-3-030-61577-2
    Sprache: Englisch
    Fachgebiete: Informatik
    RVK:
    Schlagwort(e): Mensch-Maschine-Kommunikation
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    Online-Ressource
    Online-Ressource
    Cham, Switzerland :Springer,
    UID:
    almafu_9959768552002883
    Umfang: 1 online resource (XI, 247 p. 130 illus., 85 illus. in color.)
    Ausgabe: 1st edition 2021.
    ISBN: 3-030-61577-4
    Serie: Studies in computational intelligence ; Volume 926
    Inhalt: 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.
    Anmerkung: Introduction -- Multi-modal emotion feature extraction -- Deep sparse autoencoder network for facial emotion recognition -- AdaBoost-knn with direct optimization for dynamic emotion recognition -- Weight-adapted convolution neural network for facial expression recognition -- Two-layer fuzzy multiple random forest for speech emotion recognition -- Two-stage fuzzy fusion based-convolution neural network for dynamic emotion recognition -- Multi-support vector machine based Dempster-Shafer theory for gesture intention understanding -- Three-layer weighted fuzzy support vector regressions for emotional intention understanding -- Dynamic emotion understanding based on two-layer fuzzy fuzzy support vector regression-Takagi-Sugeno model -- Emotion-age-gender-nationality based intention understanding using two-layer fuzzy support vector regression -- Emotional human-robot interaction systems -- Experiments and applications of emotional human-robot.
    Weitere Ausg.: ISBN 3-030-61576-6
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    UID:
    almahu_9948612943102882
    Umfang: XI, 247 p. 130 illus., 85 illus. in color. , online resource.
    Ausgabe: 1st ed. 2021.
    ISBN: 9783030615772
    Serie: Studies in Computational Intelligence, 926
    Inhalt: 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.
    Anmerkung: Introduction -- Multi-modal emotion feature extraction -- Deep sparse autoencoder network for facial emotion recognition -- AdaBoost-knn with direct optimization for dynamic emotion recognition -- Weight-adapted convolution neural network for facial expression recognition -- Two-layer fuzzy multiple random forest for speech emotion recognition -- Two-stage fuzzy fusion based-convolution neural network for dynamic emotion recognition -- Multi-support vector machine based Dempster-Shafer theory for gesture intention understanding -- Three-layer weighted fuzzy support vector regressions for emotional intention understanding -- Dynamic emotion understanding based on two-layer fuzzy fuzzy support vector regression-Takagi-Sugeno model -- Emotion-age-gender-nationality based intention understanding using two-layer fuzzy support vector regression -- Emotional human-robot interaction systems -- Experiments and applications of emotional human-robot.
    In: Springer Nature eBook
    Weitere Ausg.: Printed edition: ISBN 9783030615765
    Weitere Ausg.: Printed edition: ISBN 9783030615789
    Weitere Ausg.: Printed edition: ISBN 9783030615796
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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