Neural Approaches to Dynamics of Signal Exchanges

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.