Multimodal Signal Processing
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Multimodal Signal Processing
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Author : Jean-Philippe Thiran
language : en
Publisher: Academic Press
Release Date : 2009-11-11
Multimodal Signal Processing written by Jean-Philippe Thiran and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-11 with Computers categories.
Multimodal signal processing is an important research and development field that processes signals and combines information from a variety of modalities – speech, vision, language, text – which significantly enhance the understanding, modelling, and performance of human-computer interaction devices or systems enhancing human-human communication. The overarching theme of this book is the application of signal processing and statistical machine learning techniques to problems arising in this multi-disciplinary field. It describes the capabilities and limitations of current technologies, and discusses the technical challenges that must be overcome to develop efficient and user-friendly multimodal interactive systems. With contributions from the leading experts in the field, the present book should serve as a reference in multimodal signal processing for signal processing researchers, graduate students, R&D engineers, and computer engineers who are interested in this emerging field. Presents state-of-art methods for multimodal signal processing, analysis, and modeling Contains numerous examples of systems with different modalities combined Describes advanced applications in multimodal Human-Computer Interaction (HCI) as well as in computer-based analysis and modelling of multimodal human-human communication scenes.
Multimodal Signal Processing
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Author : Steve Renals
language : en
Publisher: Cambridge University Press
Release Date : 2012-06-07
Multimodal Signal Processing written by Steve Renals 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 2012-06-07 with Computers categories.
A comprehensive synthesis of recent advances in multimodal signal processing applications for human interaction analysis and meeting support technology. With directly applicable methods and metrics along with benchmark results, this guide is ideal for those interested in multimodal signal processing, its component disciplines and its application to human interaction analysis.
Multimodal Signal Processing
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Author : Steve Renals
language : en
Publisher:
Release Date : 2012
Multimodal Signal Processing written by Steve Renals and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Technology & Engineering categories.
This book is an introduction to multimodal signal processing. In it, we use the goal of building applications that can understand meetings as a way to focus and motivate the processing we describe. Multimodal signal processing takes the outputs of capture devices running at the same time - primarily cameras and microphones, but also electronic whiteboards and pens - and automatically analyses them to make sense of what is happening in the space being recorded. For instance, these analyses might indicate who spoke, what was said, whether there was an active discussion, and who was dominant in it. These analyses require the capture of multimodal data using a range of signals, followed by a low-level automatic annotation of them, gradually layering up annotation until information that relates to user requirements is extracted.
Multimodal Signal Processing Theory And Applications For Human Computer Interaction
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Author : Jean-Philippe Thiran
language : en
Publisher:
Release Date : 2009
Multimodal Signal Processing Theory And Applications For Human Computer Interaction written by Jean-Philippe Thiran and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Multimodal User Interfaces
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Author : Dimitros Tzovaras
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-02-27
Multimodal User Interfaces written by Dimitros Tzovaras and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-27 with Technology & Engineering categories.
tionship indicates how multimodal medical image processing can be unified to a large extent, e. g. multi-channel segmentation and image registration, and extend information theoretic registration to other features than image intensities. The framework is not at all restricted to medical images though and this is illustrated by applying it to multimedia sequences as well. In Chapter 4, the main results from the developments in plastic UIs and mul- modal UIs are brought together using a theoretic and conceptual perspective as a unifying approach. It is aimed at defining models useful to support UI plasticity by relying on multimodality, at introducing and discussing basic principles that can drive the development of such UIs, and at describing some techniques as proof-of-concept of the aforementioned models and principles. In Chapter 4, the authors introduce running examples that serve as illustration throughout the d- cussion of the use of multimodality to support plasticity.
Multi Modal Signal Processing
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Author : Jean-Philippe Thiran
language : en
Publisher:
Release Date : 2009
Multi Modal Signal Processing written by Jean-Philippe Thiran and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Presents state-of-art methods for multimodal signal processing, analysis, and modeling Contains numerous examples of systems with different modalities combined Describes advanced applications in multimodal Human-Computer Interaction (HCI) as well as in computer-based analysis and modelling of multimodal human-human communication scenes. Multimodal signal processing is an important research and development field that processes signals and combines information from a variety of modalities - speech, vision, language, text - which significantly enhance the understanding, modelling, and performance of human-computer interaction devices or systems enhancing human-human communication. The overarching theme of this book is the application of signal processing and statistical machine learning techniques to problems arising in this multi-disciplinary field. It describes the capabilities and limitations of current technologies, and discusses the technical challenges that must be overcome to develop efficient and user-friendly multimodal interactive systems. With contributions from the leading experts in the field, the present book should serve as a reference in multimodal signal processing for signal processing researchers, graduate students, R&D engineers, and computer engineers who are interested in this emerging field. Presents state-of-art methods for multimodal signal processing, analysis, and modeling Contains numerous examples of systems with different modalities combined Describes advanced applications in multimodal Human-Computer Interaction (HCI) as well as in computer-based analysis and modelling of multimodal human-human communication scenes.
The Handbook Of Multimodal Multisensor Interfaces Volume 2
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Author : Sharon Oviatt
language : en
Publisher: Morgan & Claypool
Release Date : 2018-10-08
The Handbook Of Multimodal Multisensor Interfaces Volume 2 written by Sharon Oviatt and has been published by Morgan & Claypool this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Computers categories.
The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces: user input involving new media (speech, multi-touch, hand and body gestures, facial expressions, writing) embedded in multimodal-multisensor interfaces that often include biosignals. This edited collection is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This second volume of the handbook begins with multimodal signal processing, architectures, and machine learning. It includes recent deep learning approaches for processing multisensorial and multimodal user data and interaction, as well as context-sensitivity. A further highlight is processing of information about users' states and traits, an exciting emerging capability in next-generation user interfaces. These chapters discuss real-time multimodal analysis of emotion and social signals from various modalities, and perception of affective expression by users. Further chapters discuss multimodal processing of cognitive state using behavioral and physiological signals to detect cognitive load, domain expertise, deception, and depression. This collection of chapters provides walk-through examples of system design and processing, information on tools and practical resources for developing and evaluating new systems, and terminology and tutorial support for mastering this rapidly expanding field. In the final section of this volume, experts exchange views on the timely and controversial challenge topic of multimodal deep learning. The discussion focuses on how multimodal-multisensor interfaces are most likely to advance human performance during the next decade.
Multimodal Interactive Systems Management
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Author : Hervé Bourlard
language : en
Publisher: CRC Press
Release Date : 2014-01-07
Multimodal Interactive Systems Management written by Hervé Bourlard and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-07 with Technology & Engineering categories.
This book provides a synthesis of the multifaceted field of interactive multimodal information management. The subjects treated include spoken language processing, image and video processing, document and handwriting analysis, identity information and interfaces. The book concludes with an overview of the highlights of the progress of the field during the past ten years, as well as the problems that are now under investigation and that offer the most promising results for the future. The book is addressed to the graduate student/postdoc level, but much of the book will be accessible to all those with a general background in information processing.
The Handbook Of Multimodal Multisensor Interfaces
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Author : Sharon Oviatt
language : en
Publisher: ACM Books
Release Date : 2018-10-08
The Handbook Of Multimodal Multisensor Interfaces written by Sharon Oviatt and has been published by ACM Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Computers categories.
The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces: user input involving new media (speech, multi-touch, hand and body gestures, facial expressions, writing) embedded in multimodal-multisensor interfaces that often include biosignals. This edited collection is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This second volume of the handbook begins with multimodal signal processing, architectures, and machine learning. It includes recent deep learning approaches for processing multisensorial and multimodal user data and interaction, as well as context-sensitivity. A further highlight is processing of information about users' states and traits, an exciting emerging capability in next-generation user interfaces. These chapters discuss real-time multimodal analysis of emotion and social signals from various modalities, and perception of affective expression by users. Further chapters discuss multimodal processing of cognitive state using behavioral and physiological signals to detect cognitive load, domain expertise, deception, and depression. This collection of chapters provides walk-through examples of system design and processing, information on tools and practical resources for developing and evaluating new systems, and terminology and tutorial support for mastering this rapidly expanding field. In the final section of this volume, experts exchange views on the timely and controversial challenge topic of multimodal deep learning. The discussion focuses on how multimodal-multisensor interfaces are most likely to advance human performance during the next decade.
The Handbook Of Multimodal Multisensor Interfaces Volume 1
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Author : Sharon Oviatt
language : en
Publisher: Morgan & Claypool
Release Date : 2017-06-01
The Handbook Of Multimodal Multisensor Interfaces Volume 1 written by Sharon Oviatt and has been published by Morgan & Claypool this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-01 with Computers categories.
The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces— user input involving new media (speech, multi-touch, gestures, writing) embedded in multimodal-multisensor interfaces. These interfaces support smart phones, wearables, in-vehicle and robotic applications, and many other areas that are now highly competitive commercially. This edited collection is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This first volume of the handbook presents relevant theory and neuroscience foundations for guiding the development of high-performance systems. Additional chapters discuss approaches to user modeling and interface designs that support user choice, that synergistically combine modalities with sensors, and that blend multimodal input and output. This volume also highlights an in-depth look at the most common multimodal-multisensor combinations—for example, touch and pen input, haptic and non-speech audio output, and speech-centric systems that co-process either gestures, pen input, gaze, or visible lip movements. A common theme throughout these chapters is supporting mobility and individual differences among users. These handbook chapters provide walk-through examples of system design and processing, information on tools and practical resources for developing and evaluating new systems, and terminology and tutorial support for mastering this emerging field. In the final section of this volume, experts exchange views on a timely and controversial challenge topic, and how they believe multimodal-multisensor interfaces should be designed in the future to most effectively advance human performance.