Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems

Luefeng Chen, Min Wu, Witold Pedrycz, Kaoru Hirota (Autoren)

Buch | Hardcover

XI, 247 Seiten

2020
Springer International Publishing (Verlag)
978-3-030-61576-5 (ISBN)

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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.

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.

Erscheinungsdatum	15.11.2020
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XI, 247 p. 130 illus., 85 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	559 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik ► Elektrotechnik / Energietechnik
Schlagworte	AI • Emotion Robot Systems • Facial Expression Recognition • gesture recognition • intelligent robots • machine learning • speech emotion recognition
ISBN-10	3-030-61576-6 / 3030615766
ISBN-13	978-3-030-61576-5 / 9783030615765
Zustand	Neuware