Neural Approaches to Dynamics of Signal Exchanges (eBook)

The book presents research that contributes to the development of intelligent dialog systems to simplify diverse aspects of everyday life, such as medical diagnosis and entertainment. Covering major thematic areas: machine learning and artificial neural networks; algorithms and models; and social and biometric data for applications in human-computer interfaces, it discusses processing of audio-visual signals for the detection of user-perceived states, the latest scientific discoveries in processing  verbal (lexicon, syntax, and pragmatics), auditory (voice, intonation, vocal expressions) and visual signals (gestures, body language, facial expressions), as well as algorithms for detecting communication disorders, remote health-status monitoring, sentiment and affect analysis, social behaviors and engagement. Further, it examines neural and machine learning algorithms for the implementation of advanced telecommunication systems, communication with people with special needs, emotion modulation by computer contents, advanced sensors for tracking changes in real-life and automatic systems, as well as the development of advanced human-computer interfaces. The book does not focus on solving a particular problem, but instead describes the results of research that has positive effects in different fields and applications.

Anna Esposito received her 'Laurea Degree' summa cum laude in Information Technology and Computer Science  from Università di  Salerno in 1989. She received her PhD Degree in Applied Mathematics and Computer Science from Università di Napoli 'Federico II' in 1995. She is currently working as an Associate Professor in Computer Science at the Department of Psychology, Università della Campania. She is associated with WSU as Research Affiliate. Previously, she worked as Assistant Professor at the Department of Physics at the  Università di  Salerno (Italy).  She also held a position of Research Professor (2000-2002) at the Department of Computer Science and Engineering at Wright State University(WSU), Dayton, OH, USA. She has authored 190+ peer reviewed publications in international journals, books, and conference proceedings. She edited/co-edited 28+ books and conference proceedings in collaboration with Italian, EU and overseas colleagues. She has also guest edited several journal special issues.

She has been the proposer and chair of COST 2102. Currently, she is the Italian Management Committee Member of COST Action CA15218 and the Italian Management Committee Substitute Member of COST Action IS1406. Previously also she has been Italian Management Committee member of many COST ACTIONS. Since 2006, she is a Member of the European Network for the Advancement of Artificial Cognitive Systems, Interaction and Robotics.

Marcos Faundez-Zanuy received his B.Sc. degree in Telecommunication in 1993 and the Ph.D. degree in 1998 from the Polytechnic University of Catalunya. He is now Full Professor at ESUP Tecnocampus Mataro and heads the Signal Processing Group. He also held the position of Dean of Escola Superior Politecnica Tecnocampus from September, 2009 to April, 2018. His area of research interests are in the fields of biometrics applied to security and health. He was the initiator and Chairman of the European COST action 277 'Nonlinear speech processing'', and the secretary of COST action 2102 'Cross-Modal Analysis of Verbal and Non-Verbal Communication'. He has authored more than 50 papers indexed in international journals, more than 100 conference papers, and around 10 books. He is also responsible of 10 national and European research projects.

Francesco Carlo Morabito got the 'Laurea' Degree (Summa cum laude) from the University of Napoli (Italy) in 1985. He now serves as Vice-Rector for Internationalisation at University of Reggio Calabria, Italy. Previously, he was Professor of Electrical Engineering at same University. He has also worked at Radar Department, Selenia SpA, Rome, as Researcher. He also taught at the EPFL, Lausanne, Switzerland, University of Naples, University of Messina, and University of Cosenza. He was a Visiting Researcher at Max-Planck Institute fuer Plasmaphysiks Muenchen, Germany from 1994-2001. He has authored 280+ papers in international journals/conferences and 10 book chapters. He is also editor/co-editor of 6 international books. He is Foreign Member of Royal Academy of Doctors, Barcelona, Spain (from 2004). He received Gold Medal 'Henry Coanda', Rumanian Academy for Researches in Neural Networks and Fuzzy Systems, Iasi, Rumania in 2003. He was President of the Italian Society of Neural Networks (SIREN) from 2008-2014. He also held positions in INNS: Member of the Board of Governors (2000-2002); Secretary (2003); Member of the Board of Governors (2004-2006; 2007-2009; 2010-2012); Chair of the Nomination Committee (2010, 2011, 2012). He is Associate Editor of Neural Networks (Elsevier); Editorial Board Member of many reputed journals.

Eros G. Pasero is Professor of Electronics at the Politecnico of Turin since 1991. Previously, he was Professor at the University of Roma, Visiting Professor at ICSI, UC Berkeley, CA, Professor of digital electronics and electronic systems at Tongji University, Shanghai, China in 2001 and 'Electronic Devices' in 2015 and Professor of digital electronics and electronic systems at TTPU (Turin Tashkent Politechic University), Tashkent, Uzbekistan. His area of research interests are in Artificial Neural Networks and Electronic Sensors.

He is now the President of SIREN, the Italian Society for Neural Networks; he was General Chairman of IJCNN2000 in Como, General Chairman of SIRWEC2006 in Turin and General Chairman of WIRN 2015 in Vietri. He has received several awards and holds 5 international patents. He was supervisor of tens of international PhD's and hundreds of Master students. He has authored more than 100 international publications. He is involved in several funded research projects.

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The book presents research that contributes to the development of intelligent dialog systems to simplify diverse aspects of everyday life, such as medical diagnosis and entertainment. Covering major thematic areas: machine learning and artificial neural networks; algorithms and models; and social and biometric data for applications in human-computer interfaces, it discusses processing of audio-visual signals for the detection of user-perceived states, the latest scientific discoveries in processing  verbal (lexicon, syntax, and pragmatics), auditory (voice, intonation, vocal expressions) and visual signals (gestures, body language, facial expressions), as well as algorithms for detecting communication disorders, remote health-status monitoring, sentiment and affect analysis, social behaviors and engagement. Further, it examines neural and machine learning algorithms for the implementation of advanced telecommunication systems, communication with people with special needs, emotionmodulation by computer contents, advanced sensors for tracking changes in real-life and automatic systems, as well as the development of advanced human-computer interfaces. The book does not focus on solving a particular problem, but instead describes the results of research that has positive effects in different fields and applications.