Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems

Häftad, Engelska, 2021

AvLuefeng Chen,Min Wu,Witold Pedrycz,Kaoru Hirota

2 299 kr

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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.

Produktinformation

Utgivningsdatum2021-11-14
Mått155 x 235 x 15 mm
Vikt406 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor247
FörlagSpringer Nature Switzerland AG
ISBN9783030615796

Tillhör följande kategorier

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.

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