Social Signal Processing

Par : Judee-K Burgoon, Nadia Magnenat-Thalmann, Maja Pantic, Alessandro Vinciarelli
Formats :
Grand Format
83,50 €
  • Nombre de pages428
  • FormatGrand Format
  • PrésentationBroché
  • Poids1.06 kg
  • Dimensions18,2 cm × 25,8 cm × 2,2 cm
  • ISBN978-1-107-16126-9
  • EAN9781107161269
  • Date de parution01/05/2017
  • ÉditeurCambridge University Press

Résumé

Social Signal Processing is the first book to cover all aspects of the modeling, automated detection, analysis, and synthesis of nonverbal behavior in human-human and human-machine interactions. Authoritative surveys address conceptual foundations, machine analysis and synthesis of social signal processing, and applications. Foundational topics include affect perception and interpersonal coordination in communication ; later chapters cover technologies for automatic detection and understanding such as computational para-linguistics and facial expression analysis and for the generation of artificial social signals such as social robots and artificial agents.
The final section covers a broad spectrum of applications based on social signal processing in healthcare, deception detection, and digital cities, including detection of developmental diseases and analysis of small groups. Each chapter offers a basic introduction to its topic, accessible to students and other newcomers, and then outlines challenges and future perspectives for the benefit of experienced researchers and practitioners in the field.

A propos de Judee-K Burgoon

Judee Burgoon is Professor of Communication, Family Studies and Human Development at the University of Arizona, where she is Director of Research for the Center for the Management of Information. Nadia Magnenat-Thalmann is Visiting Professor and Director of the Institute for Media Innovation (IMI) at Nanyang Technological University, Singapore. She also directs her own research group, MIRALab, in Geneva, Switzerland.
Maja Pantic is Professor of Affective and Behavioral Computing and leader of the i-BUG group it Imperial College, London, working on machine analysis of human non-verbal behaviour and its applications to human-computer, human-robot and computer-mediated human-human interaction. Alessandro Vinciarelli is Senior Lecturer (Associate Professor) of the School of Computing. Science and Associate Academic of the Institute of Neuroscience and Psychology at the University of Glasgow.
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