Emotion recognition and understanding for emotional human-robot interaction systems / Luefeng Chen, Min Wu, Witold Pedrycz, Kaoru Hirota.
Chen, Luefeng, author.; Wu, Min, author.; Pedrycz, Witold, 1953- author.; Hirota, K. (Kaoru), author.
2021
TJ211.49
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Emotion recognition and understanding for emotional human-robot interaction systems / Luefeng Chen, Min Wu, Witold Pedrycz, Kaoru Hirota.
Author Chen, Luefeng, author.
ISBN 9783030615772 (electronic bk.)
3030615774 (electronic bk.)
9783030615765
DOI https://doi.org/10.1007/978-3-030-61577-2
Published Cham : Springer, [2021]
Language English
Description 1 online resource (xi, 247 pages) : illustrations
Other Standard Identifiers 10.1007/978-3-030-61577-2 doi
Call Number TJ211.49
Dewey Decimal Classification 629.8/924019
006.3
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Description based on print version record.
Added Author Wu, Min, author.
Pedrycz, Witold, 1953- author.
Hirota, K. (Kaoru), author.
Series Studies in computational intelligence ; v. 926.
Available in Other Form Emotion Recognition and Understanding for Emotional Human-Robot Interaction Systems.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export