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.
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 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 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.
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 Human-robot interaction 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.
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.
Handbook Of Information Security Information Warfare Social Legal And International Issues And Security Foundations
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Author : Hossein Bidgoli
language : en
Publisher:
Release Date : 2006
Handbook Of Information Security Information Warfare Social Legal And International Issues And Security Foundations written by Hossein Bidgoli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.
The Handbook of Information Security is a definitive 3-volume handbook that offers coverage of both established and cutting-edge theories and developments on information and computer security. The text contains 180 articles from over 200 leading experts, providing the benchmark resource for information security, network security, information privacy, and information warfare.
Social Signal Processing From Egocentric Photo Streams
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Author : Maedeh Aghaei
language : en
Publisher:
Release Date : 2018
Social Signal Processing From Egocentric Photo Streams written by Maedeh Aghaei and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Wearable photo-cameras offer a hands-free way to record images from the camera- wearer perspective of daily experiences as they are lived, without the necessity to interrupt recording due to the device battery or storage limitations. This stream of images, known as egocentric photo-streams, contains important visual data about the living of the user, where social events among them are of special interest. Social interactions are proven to be a key to longevity and having too few interactions equates the same risk factor as smoking regularly. Considering the importance of the matter, there is no wonder that automatic analysis of social interactions is largely attracting the interest of the scientific community. Analysis of unconstrained photo-streams however, imposes novel challenges to the social signal processing problem with respect to conventional videos. Due to the free motion of the camera and to its low temporal resolution, abrupt changes in the field of view, in illumination condition and in the target location are highly frequent. Also, since images are acquired under real-world conditions, occlusions occur regularly and appearance of the people undergoes intensive variations from one event to another. Given a user wearing a photo-camera during a determined period, this thesis, driven by the social signal processing paradigm presents a framework for comprehensive social pattern characterization of the user. In social signal processing, the second step after recording the scene is to track the appearance of multiple people who are involved in the social events. Hence, our proposal begins by introducing a multi-face tracking which holds certain characteristics to deal with challenges imposed by the egocentric photo-streams. Next step forward in social signal processing, is to extract the so-called social signals from the tracked people. In this step, besides the conventionally studied social signals, clothing as a novel social signal is proposed for further studies within the social signal processing. Finally, the last step is social signal analysis, itself. In this thesis, social signal analysis is essentially defined as reaching an understanding of social patterns of a wearable photo-camera user by reviewing captured photos by the worn camera over a period of time. Our proposal for social signal analysis is comprised of first, to detect social interactions of the user where the impact of several social signals on the task is explored. The detected social events are inspected in the second step for categorization into different social meetings. The last step of the framework is to characterize social patterns of the user. Our goal is to quantify the duration, the diversity and the frequency of the user social relations in various social situations. This goal is achieved by the discovery of recurrences of the same people across the whole set of social events related to the user. Each step of our proposed pipeline is validated over relevant datasets, and the obtained results are reported quantitatively and qualitatively. For each section of the pipeline, a comparison with related state-of-the-art models is provided. A discussion section over the obtained results is also given which is dedicated to highlighting the advantages, shortcomings, and differences of the proposed models, and with regards to the state-of-the-art.
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.
2000 Ieee International Conference On Acoustics Speech And Signal Processing
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Author :
language : en
Publisher:
Release Date : 2000
2000 Ieee International Conference On Acoustics Speech And Signal Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Electro-acoustics categories.