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Multimodal Signal Processing

Multimodal Signal Processing PDF Author: Jean-Philippe Thiran
Publisher: Academic Press
ISBN: 9780080888699
Category : Computers
Languages : en
Pages : 352

Book Description
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

Multimodal Signal Processing PDF Author: Jean-Philippe Thiran
Publisher: Academic Press
ISBN: 9780080888699
Category : Computers
Languages : en
Pages : 352

Book Description
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: Theory and Applications for Human-computer Interaction

Multimodal Signal Processing: Theory and Applications for Human-computer Interaction PDF Author: Jean-Philippe Thiran
Publisher:
ISBN:
Category :
Languages : en
Pages : 448

Book Description


Multi-Modal Signal Processing

Multi-Modal Signal Processing PDF Author: Jean-Philippe Thiran
Publisher:
ISBN:
Category :
Languages : en
Pages : 352

Book Description
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.

Multimodal User Interfaces

Multimodal User Interfaces PDF Author: Dimitros Tzovaras
Publisher: Springer Science & Business Media
ISBN: 3540783458
Category : Technology & Engineering
Languages : en
Pages : 315

Book Description
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.

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction PDF Author: Friedhelm Schwenker
Publisher: Springer
ISBN: 3319148990
Category : Computers
Languages : en
Pages : 145

Book Description
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.

Human Computer Interaction Handbook

Human Computer Interaction Handbook PDF Author: Julie A. Jacko
Publisher: CRC Press
ISBN: 1439829446
Category : Computers
Languages : en
Pages : 1469

Book Description
Winner of a 2013 CHOICE Outstanding Academic Title Award The third edition of a groundbreaking reference, The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications raises the bar for handbooks in this field. It is the largest, most complete compilation of HCI theories, principles, advances, case st

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction PDF Author: Friedhelm Schwenker
Publisher: Springer
ISBN: 3319592599
Category : Computers
Languages : en
Pages : 161

Book Description
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.

The Paradigm Shift to Multimodality in Contemporary Computer Interfaces

The Paradigm Shift to Multimodality in Contemporary Computer Interfaces PDF Author: SHARON OVIATT
Publisher: Springer Nature
ISBN: 3031022130
Category : Computers
Languages : en
Pages : 221

Book Description
During the last decade, cell phones with multimodal interfaces based on combined new media have become the dominant computer interface worldwide. Multimodal interfaces support mobility and expand the expressive power of human input to computers. They have shifted the fulcrum of human-computer interaction much closer to the human. This book explains the foundation of human-centered multimodal interaction and interface design, based on the cognitive and neurosciences, as well as the major benefits of multimodal interfaces for human cognition and performance. It describes the data-intensive methodologies used to envision, prototype, and evaluate new multimodal interfaces. From a system development viewpoint, this book outlines major approaches for multimodal signal processing, fusion, architectures, and techniques for robustly interpreting users' meaning. Multimodal interfaces have been commercialized extensively for field and mobile applications during the last decade. Research also is growing rapidly in areas like multimodal data analytics, affect recognition, accessible interfaces, embedded and robotic interfaces, machine learning and new hybrid processing approaches, and similar topics. The expansion of multimodal interfaces is part of the long-term evolution of more expressively powerful input to computers, a trend that will substantially improve support for human cognition and performance. Table of Contents: Preface: Intended Audience and Teaching with this Book / Acknowledgments / Introduction / Definition and Typre of Multimodal Interface / History of Paradigm Shift from Graphical to Multimodal Interfaces / Aims and Advantages of Multimodal Interfaces / Evolutionary, Neuroscience, and Cognitive Foundations of Multimodal Interfaces / Theoretical Foundations of Multimodal Interfaces / Human-Centered Design of Multimodal Interfaces / Multimodal Signal Processing, Fusion, and Architectures / Multimodal Language, Semantic Processing, and Multimodal Integration / Commercialization of Multimodal Interfaces / Emerging Multimodal Research Areas, and Applications / Beyond Multimodality: Designing More Expressively Powerful Interfaces / Conclusions and Future Directions / Bibliography / Author Biographies

The Handbook of Multimodal-Multisensor Interfaces, Volume 1

The Handbook of Multimodal-Multisensor Interfaces, Volume 1 PDF Author: Sharon Oviatt
Publisher: Morgan & Claypool
ISBN: 1970001666
Category : Computers
Languages : en
Pages : 600

Book Description
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.

Speech, Image, and Language Processing for Human Computer Interaction: Multi-Modal Advancements

Speech, Image, and Language Processing for Human Computer Interaction: Multi-Modal Advancements PDF Author: Tiwary, Uma Shanker
Publisher: IGI Global
ISBN: 1466609559
Category : Computers
Languages : en
Pages : 387

Book Description
"This book identifies the emerging research areas in Human Computer Interaction and discusses the current state of the art in these areas"--Provided by publisher.