Social signal processing:
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 pro...
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| Other Authors: | , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
[2017]
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| Subjects: | |
| Links: | https://doi.org/10.1017/9781316676202 https://doi.org/10.1017/9781316676202 https://doi.org/10.1017/9781316676202 https://doi.org/10.1017/9781316676202 https://doi.org/10.1017/9781316676202 |
| Summary: | 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 |
| Physical Description: | 1 Online-Ressource (xii, 428 Seiten) Illustrationen |
| ISBN: | 9781316676202 |
| DOI: | 10.1017/9781316676202 |
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| 520 | |a 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 | ||
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| discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
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| id | DE-604.BV044492280 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T18:04:35Z |
| institution | BVB |
| isbn | 9781316676202 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029892206 |
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| physical | 1 Online-Ressource (xii, 428 Seiten) Illustrationen |
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| publishDate | 2017 |
| publishDateSearch | 2017 |
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| publisher | Cambridge University Press |
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| spelling | Social signal processing Judee K. Burgoon, Nadia Magnenat-Thalmann, Maja Pantic, Alessandro Vinciarelli Cambridge Cambridge University Press [2017] © 2017 1 Online-Ressource (xii, 428 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier 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 Human-computer interaction Signal processing Human face recognition (Computer science) Nonverbal communication Facial expression Pattern recognition systems Multimodal user interfaces (Computer systems) Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Gesichtserkennung (DE-588)1142448436 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 s Signalverarbeitung (DE-588)4054947-1 s Gesichtserkennung (DE-588)1142448436 s Mustererkennung (DE-588)4040936-3 s DE-604 Burgoon, Judee K. (DE-588)1241156026 edt Magnenat-Thalmann, Nadia 1946- (DE-588)110872061 edt Pantic, Maja 1970- (DE-588)1141391678 edt Vinciarelli, Alessandro (DE-588)1189851938 edt Erscheint auch als Druck-Ausgabe, Hardcover 978-1-107-16126-9 Erscheint auch als Druck-Ausgabe, Paperback 978-1-316-61383-2 https://doi.org/10.1017/9781316676202 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Social signal processing Human-computer interaction Signal processing Human face recognition (Computer science) Nonverbal communication Facial expression Pattern recognition systems Multimodal user interfaces (Computer systems) Signalverarbeitung (DE-588)4054947-1 gnd Mustererkennung (DE-588)4040936-3 gnd Gesichtserkennung (DE-588)1142448436 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| subject_GND | (DE-588)4054947-1 (DE-588)4040936-3 (DE-588)1142448436 (DE-588)4125909-9 |
| title | Social signal processing |
| title_auth | Social signal processing |
| title_exact_search | Social signal processing |
| title_full | Social signal processing Judee K. Burgoon, Nadia Magnenat-Thalmann, Maja Pantic, Alessandro Vinciarelli |
| title_fullStr | Social signal processing Judee K. Burgoon, Nadia Magnenat-Thalmann, Maja Pantic, Alessandro Vinciarelli |
| title_full_unstemmed | Social signal processing Judee K. Burgoon, Nadia Magnenat-Thalmann, Maja Pantic, Alessandro Vinciarelli |
| title_short | Social signal processing |
| title_sort | social signal processing |
| topic | Human-computer interaction Signal processing Human face recognition (Computer science) Nonverbal communication Facial expression Pattern recognition systems Multimodal user interfaces (Computer systems) Signalverarbeitung (DE-588)4054947-1 gnd Mustererkennung (DE-588)4040936-3 gnd Gesichtserkennung (DE-588)1142448436 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| topic_facet | Human-computer interaction Signal processing Human face recognition (Computer science) Nonverbal communication Facial expression Pattern recognition systems Multimodal user interfaces (Computer systems) Signalverarbeitung Mustererkennung Gesichtserkennung Mensch-Maschine-Kommunikation |
| url | https://doi.org/10.1017/9781316676202 |
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