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, 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.
Download Neural Approaches to Dynamics of Signal Exchanges (9789811389498).pdf, available at mobinote.net for free.
- Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero
- Hardback | 525 pages
- 155 x 235mm
- Publication date
- 30 Nov 2019
- Springer Verlag, Singapore
- Publication City/Country
- Singapore, Singapore
- Edition Statement
- 1st ed. 2020
- Illustrations note
- 50 Tables, color; 141 Illustrations, color; 35 Illustrations, black and white; XXVIII, 525 p. 176 illus., 141 illus. in color.