Emotion Recognition and Understanding for Emotional Human-Robot Interaction S...

(0) Erste Bewertung abgeben
20%
CHF 157.60 Sie sparen CHF 39.40
Print on Demand - Auslieferung erfolgt in der Regel innert 4 bis 6 Wochen.
Fester Einband

Beschreibung

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 humanrobot 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.

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 studies, identifying the best design practices

Assesses business models and practices of the methodology of emotion recognition and understanding as encountered nowadays in emotion robot systems

Offers some introductory chapters on the paradigm of emotion recognition and understanding for emotion robot systems so that the book is made self-contained and easily accessible



Inhalt
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.

Mehr anzeigen

Produktinformationen

Titel
Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems
Autor
EAN
9783030615765
ISBN
3030615766
Format
Fester Einband
Herausgeber
Springer International Publishing
Genre
Allgemeines & Lexika
Anzahl Seiten
264
Gewicht
565g
Größe
H241mm x B160mm x T20mm
Jahr
2020
Untertitel
Englisch
Auflage
1st ed. 2021
Mehr anzeigen
Andere Kunden kauften auch