Overview
- Presents the novel use of various signatures as effective features for emotion recognition
- Discusses the innovative use of associated stability to evaluate the robustness of the underlying signature
- Details an extensive study on different ANN models for training and testing to achieve emotion recognition
Part of the book series: Cognitive Intelligence and Robotics (CIR)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression recognition, such as the grid formation, distance signature, shape signature, texture signature, feature selection, classifier design, and the combination of signatures to improve emotion recognition.
The book explains how six basic human emotions can be recognized in various face images of the same person, as well as those available from benchmark face image databases like CK+, JAFFE, MMI, and MUG. The authors present the concept of signatures for different characteristics such as distance and shape texture, and describe the use of associated stability indices as features, supplementing the feature set with statistical parameters such as range, skewedness, kurtosis, and entropy. In addition, they demonstrate that experiments with such feature choices offer impressive results, and that performance can be further improved by combining thesignatures rather than using them individually.
There is an increasing demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and security in government, public and private agencies. This book offers a valuable resource for researchers working in these areas.
Authors and Affiliations
About the authors
Paramartha Dutta is currently a Professor at the Dept. of Computer and System Sciences at Visva-Bharati University, West Bengal. He completed his Bachelor's and Master's in Statistics at the Indian Statistical Institute, Kolkata, in 1988 and 1990 respectively. He received his Master's in Computer Science from the Indian Statistical Institute, Kolkata, in 1993, and his Ph.D. from the Bengal Engineering and Science University, Shibpur, in 2005.
He is the co-author of 6 books, co-editor of 10 books, and he has published over 230 research papers in peer-reviewed journals and conference proceedings. He is a Fellow of IETE, OSI, IE India, a senior member of ACM, IEEE, CSI and IACSIT, and a member of ACCS, IAPR, ISCA, ISTE, and SSI.
Asit Barman is an Assistant Professor at the Dept. of Computer Science & Engineering and Information Technology of Siliguri Institute Technology. He served as a Lecturer at the Dept. of Information Technology at the Calcutta Institute of Technology, West Bengal from 2008 to 2009.
He received his B.Tech. in Information Technology from the West Bengal University of Technology in 2006 and his M.Tech. in Information Technology from the University of Calcutta, Kolkata, in 2008. Currently, he is pursuing a Ph.D. at the University of Calcutta under the guidance of Prof. Paramartha Dutta. He is a member of the IEEE society.
Bibliographic Information
Book Title: Human Emotion Recognition from Face Images
Authors: Paramartha Dutta, Asit Barman
Series Title: Cognitive Intelligence and Robotics
DOI: https://doi.org/10.1007/978-981-15-3883-4
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-3882-7Published: 27 March 2020
Softcover ISBN: 978-981-15-3885-8Published: 27 March 2021
eBook ISBN: 978-981-15-3883-4Published: 26 March 2020
Series ISSN: 2520-1956
Series E-ISSN: 2520-1964
Edition Number: 1
Number of Pages: XIX, 264
Number of Illustrations: 13 b/w illustrations, 99 illustrations in colour
Topics: User Interfaces and Human Computer Interaction, Image Processing and Computer Vision, Pattern Recognition