00000cmm a22000003i 4500 UP-1685594773862447145 Buklod 20240123120100.0 m | | ta 240123s2017 xx u eng d 9781316676202 (ebook) (iLib)UPBAG-00043611783 ML-1008EB CE Logic Inc. Php18,082.00 College of Science DLC BAG rda eng ML-ebook Social signal processing [electronic resource] [edited by] Judee K. Burgoon, Nadia Magnenat-Thalmann, Maja Pantic, Alessandro Vinciarelli. Cambridge, United Kingdom Cambridge University Press 2017. ©2017. 1 online resource (xii, 428 pages) text rdacontent computer rdamedia online resource rdacarrier Includes bibliographical references. What does it mean to be social? distinguishing social from biological signal systems -- Universal dimensions of social cognition -- Measuring responses to nonverbal social signals: research on affect receiving ability -- Computational analysis of vocal expression of affect --trends and challenges -- The vertical dimension of social signaling -- Self-presentation: signaling personal and social characteristics -- Interaction coordination and adaptation -- Social signals and persuasion -- Social presence in CMC and VR -- Facial actions as social signals -- Automatic analysis of bodily social signals -- Computational approaches for personality prediction -- Automatic analysis of aesthetics: human beauty, attractiveness, and likability -- Interpersonal synchrony: from social perception to social interaction -- Automatic analysis of social emotions -- Social signal processing for automatic role recognition -- Machine learning methods for social signal processing -- Speech synthesis: state-of -the-art and challenges for the future -- Body movements generation for virtual characters and social robots -- Approach and dominance as social signals for affective interfaces -- Virtual reality and prosocial behaviour -- Social signal processing in social robotics -- Social signal processing for surveillance -- Analysis of small groups -- Multimedia implicit tagging -- Social signal processing for conflict analysis and understanding -- Social signal processing and socially assistive robotics in developmental disorders -- Social signal of deception and dishonesty. IP-based subscription and remote access available via OpenAthens. Access via Electronic Resources of the UPB University Library Website. "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 paralinguistics 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" -- Provided by publisher. Electronic reproduction. Cambridge, United Kingdom Cambridge University Press 2017. Available via World Wide Web through Cambridge Core eBooks. Human-computer interaction. Signal processing. Human face recognition (Computer science) Nonverbal communication. Facial expression. Pattern recognition systems. Multimodal user interfaces (Computer systems) Electronic books. Burgoon, Judee K. editor. Magnenat-Thalmann, Nadia 1946- editor. Pantic, Maja 1970- editor. Vinciarelli, Alessandro editor. https://doi.org/10.1017/9781316676202 Available for University of the Philippines Baguio via Cambridge Core eBooks. Click here to access (viewed 14 January 2022) FO Monograph UPBAG UPBAG-MAIN ML-ebook Electronic Resource