Overview
- Provides an overview of the recent advances in artificial intelligence and neural nets
- Discusses the real challenge in the context of the emotional characterization of humans
- Serves as a reference resource for researchers and practitioners in academia and industry
Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 184)
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Table of contents (52 chapters)
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Front Matter
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Introduction
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Front Matter
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Neural Networks and Related Applications
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Front Matter
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Keywords
About this book
At the same time, the issue of emotion has gained increasing attention due to its relevance in achieving human-like interaction with machines. The real challenge is taking advantage of the emotional characterization of humans’ interactions to make computers interfacing with them emotionally and socially credible.
The book assesses how and to what extent current sophisticated computational intelligence tools might support the multidisciplinary research on the characterization of appropriate system reactions to human emotions and expressions in interactive scenarios. Discussing the latest recent research trends, innovative approaches and future challenges in AI from interdisciplinary perspectives, it is a valuable resource for researchers and practitioners in academia and industry.
Editors and Affiliations
About the editors
Marcos Faundez-Zanuy received his B.Sc. degree (1993) and Ph.D. (1998) from the Polytechnic University of Catalunya. He is a Full Professor at ESUP Tecnocampus Mataro, where he also heads the Signal Processing Group. His research focuses on biometrics applied to security and health. He was the initiator and Chairman of the EU COST action 277 “Nonlinear speech processing” and secretary of COST action 2102 “Cross-Modal Analysis of Verbal and Non-Verbal Communication”. He is the author of over 50 papers indexed in ISI Journal citation report, over 100 conference papers and several books, and is the PI of 10 national and EU funded projects.
Francesco Carlo Morabito joined the University of Reggio Calabria, Italy, in 1989, and has been a Full Professor of Electrical Engineering there since 2001. He served as President of the Electronic Engineering Course, a member of the University’s Inner Evaluation Committee, Dean of the Faculty of Engineering and Deputy Rector, and is currently Vice-Rector for Internationalization. He is a member of the Italian Society of Electrical Engineering’s Steering Committee.
Eros Pasero has been a Professor of Electronics at Politecnico of Turin since 1991. He was a visiting Professor at ICSI Berkeley (1991), Tongji University Shanghai (2011, 2015), and Tashkent Politechic University, Uzbekistan. His interests include artificial neural networks and electronic sensors. He heads the Neuronica Lab, which develops wired and wireless sensors for biomedical, environmental and automotive applications, and neural networks for sensor signals processing. Prof. Pasero is President of the Italian Society for Neural Networks (SIREN) and was General Chair of IJCNN2000, SIRWEC2006, and WIRN 2015. He has received several awards and holds 5 international patents, and is the author of over 100 international publications.
Bibliographic Information
Book Title: Progresses in Artificial Intelligence and Neural Systems
Editors: Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero
Series Title: Smart Innovation, Systems and Technologies
DOI: https://doi.org/10.1007/978-981-15-5093-5
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-15-5092-8Published: 10 July 2020
Softcover ISBN: 978-981-15-5095-9Published: 10 July 2021
eBook ISBN: 978-981-15-5093-5Published: 09 July 2020
Series ISSN: 2190-3018
Series E-ISSN: 2190-3026
Edition Number: 1
Number of Pages: XVIII, 613
Number of Illustrations: 64 b/w illustrations, 125 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Mathematical Models of Cognitive Processes and Neural Networks