Springer Neural Approaches to Dynamics of Signal Exchanges: 151 (Smart Innovation, Systems and Technologies, 151)

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. From the Back Cover 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. About the Author 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 ha