Social Signal Processing
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Social Signal Processing
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Author : Judee K. Burgoon
language : en
Publisher: Cambridge University Press
Release Date : 2017-05-08
Social Signal Processing written by Judee K. Burgoon and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-08 with Computers categories.
This book provides comprehensive, authoritative surveys covering the modeling, automatic detection, analysis, and synthesis of nonverbal social signals.
Social Signal Processing
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Author : Judee Burgoon
language : en
Publisher:
Release Date : 2017
Social Signal Processing written by Judee Burgoon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
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.
Social Signal Processing
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Author : Judee K. Burgoon
language : en
Publisher:
Release Date : 2016-12
Social Signal Processing written by Judee K. Burgoon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12 with categories.
Social Signal Processing
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Author : Judee Burgoon K.. Nadia Magnenat-Thalmann. Maja Pantic. Alessandro Vinciarelli
language : en
Publisher:
Release Date : 2017
Social Signal Processing written by Judee Burgoon K.. Nadia Magnenat-Thalmann. Maja Pantic. Alessandro Vinciarelli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Mobile Social Signal Processing
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Author : Roderick Murray-Smith
language : en
Publisher: Springer
Release Date : 2014-01-28
Mobile Social Signal Processing written by Roderick Murray-Smith and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-28 with Computers categories.
This book contains papers invited after the First International Workshop on Mobile Social Signal Processing, MSSP 2010, held in Lisbon, Portugal, in September 2010. The 9 revised papers included in this volume represent the diversity of two fields of research, Mobile HCI and Social Signal Processing and areas of overlap. They cover a wide range of topics spanning from approaches for effective interaction with mobile and wearable devices to modelling, analysis and synthesis of nonverbal behaviour in human-human and human-machine interactions.
Social Multimedia Signals
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Author : Suman Deb Roy
language : en
Publisher: Springer
Release Date : 2014-08-11
Social Multimedia Signals written by Suman Deb Roy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-11 with Technology & Engineering categories.
This book provides a comprehensive coverage of the state-of-the-art in understanding media popularity and trends in online social networks through social multimedia signals. With insights from the study of popularity and sharing patterns of online media, trend spread in social media, social network analysis for multimedia and visualizing diffusion of media in online social networks. In particular, the book will address the following important issues: Understanding social network phenomena from a signal processing point of view; The existence and popularity of multimedia as shared and social media, how content or origin of sharing activity can affect its spread and popularity; The network-signal duality principle, i.e., how the signal tells us key properties of information diffusion in networks; The social signal penetration hypothesis, i.e., how the popularity of media in one domain can affect the popularity of media in another. The book will help researchers, developers and business (advertising/marketing) individuals to comprehend the potential in exploring social multimedia signals collected from social network data quantitatively from a signal processing perspective.
Multimodal Pattern Recognition Of Social Signals In Human Computer Interaction
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Author : Friedhelm Schwenker
language : en
Publisher: Springer
Release Date : 2015-01-03
Multimodal Pattern Recognition Of Social Signals In Human Computer Interaction written by Friedhelm Schwenker and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-03 with Computers categories.
This book constitutes the thoroughly refereed post-workshop proceedings of the Third IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of the International Conference on Pattern Recognition, ICPR 2014. The 14 revised papers presented focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition, user identification, and recognition of human activities.
Multimodal Pattern Recognition Of Social Signals In Human Computer Interaction
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Author : Friedhelm Schwenker
language : en
Publisher: Springer
Release Date : 2017-05-30
Multimodal Pattern Recognition Of Social Signals In Human Computer Interaction written by Friedhelm Schwenker and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-30 with Computers categories.
This book constitutes the thoroughly refereed post-workshop proceedings of the Fourth IAPR TC9 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2016, held in Cancun, Mexico, in December 2016. The 13 revised papers presented focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition, user identification, and recognition of human activities.
Understanding Social Signals How Do We Recognize The Intentions Of Others
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Author : Sebastian Loth
language : en
Publisher: Frontiers Media SA
Release Date : 2016-05-30
Understanding Social Signals How Do We Recognize The Intentions Of Others written by Sebastian Loth and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-30 with Electronic book categories.
Powerful and economic sensors such as high definition cameras and corresponding recognition software have become readily available, e.g. for face and motion recognition. However, designing user interfaces for robots, phones and computers that facilitate a seamless, intuitive, and apparently effortless communication as between humans is still highly challenging. This has shifted the focus from developing ever faster and higher resolution sensors to interpreting available sensor data for understanding social signals and recognising users' intentions. Psychologists, Ethnologists, Linguists and Sociologists have investigated social behaviour in human-human interaction. But their findings are rarely applied in the human-robot interaction domain. Instead, robot designers tend to rely on either proof-of-concept or machine learning based methods. In proving the concept, developers effectively demonstrate that users are able to adapt to robots deployed in the public space. Typically, an initial period of collecting human-robot interaction data is used for identifying frequently occurring problems. These are then addressed by adjusting the interaction policies on the basis of the collected data. However, the updated policies are strongly biased by the initial design of the robot and might not reflect natural, spontaneous user behaviour. In the machine learning approach, learning algorithms are used for finding a mapping between the sensor data space and a hypothesised or estimated set of intentions. However, this brute-force approach ignores the possibility that some signals or modalities are superfluous or even disruptive in intention recognition. Furthermore, this method is very sensitive to peculiarities of the training data. In sum, both methods cannot reliably support natural interaction as they crucially depend on an accurate model of human intention recognition. Therefore, approaches to social robotics from engineers and computer scientists urgently have to be informed by studies of intention recognition in natural human-human communication. Combining the investigation of natural human behaviour and the design of computer and robot interfaces can significantly improve the usability of modern technology. For example, robots will be easier to use by a broad public if they can interpret the social signals that users spontaneously produce for conveying their intentions anyway. By correctly identifying and even anticipating the user's intention, the user will perceive that the system truly understands her/his needs. Vice versa, if a robot produces socially appropriate signals, it will be easier for its users to understand the robot's intentions. Furthermore, studying natural behaviour as a basis for controlling robots and other devices results in greater robustness, responsiveness and approachability. Thus, we welcome submissions that (a) investigate how relevant social signals can be identified in human behaviour, (b) investigate the meaning of social signals in a specific context or task, (c) identify the minimal set of intentions for describing a context or task, (d) demonstrate how insights from the analysis of social behaviour can improve a robot's capabilities, or (e) demonstrate how a robot can make itself more understandable to the user by producing more human-like social signals.
Developmental Trajectories Of Social Signal Processing
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Author : Paddy Ross
language : en
Publisher:
Release Date : 2014
Developmental Trajectories Of Social Signal Processing written by Paddy Ross and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Auditory perception categories.