Multimodal Signal Processing

Multimodal Signal Processing
Author: Jean-Philippe Thiran,Ferran Marqués,Hervé Bourlard
Publsiher: Academic Press
Total Pages: 352
Release: 2009-11-11
Genre: Computers
ISBN: 0080888690

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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
Author: Steve Renals,Hervé Bourlard,Jean Carletta
Publsiher: Cambridge University Press
Total Pages: 287
Release: 2012-06-07
Genre: Technology & Engineering
ISBN: 9781107022294

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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.

Multi Modal Signal Processing

Multi Modal Signal Processing
Author: Jean-Philippe Thiran,Ferran Marqués,Hervé Bourlard
Publsiher: Unknown
Total Pages: 352
Release: 2009
Genre: Electronic Book
ISBN: OCLC:1151009588

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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
Author: Dimitros Tzovaras
Publsiher: Springer Science & Business Media
Total Pages: 315
Release: 2008-02-27
Genre: Technology & Engineering
ISBN: 9783540783459

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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 Signal Processing

Multimodal Signal Processing
Author: Steve Renals,Herv Bourlard,Jean Carletta
Publsiher: Unknown
Total Pages: 0
Release: 2012
Genre: Technology & Engineering
ISBN: 1280773782

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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.

The Handbook of Multimodal Multisensor Interfaces Volume 2

The Handbook of Multimodal Multisensor Interfaces  Volume 2
Author: Sharon Oviatt,Björn Schuller,Philip Cohen,Daniel Sonntag,Gerasimos Potamianos,Antonio Krüger
Publsiher: Morgan & Claypool
Total Pages: 555
Release: 2018-10-08
Genre: Computers
ISBN: 9781970001693

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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 Signal Processing Theory and Applications for Human computer Interaction

Multimodal Signal Processing  Theory and Applications for Human computer Interaction
Author: Jean-Philippe Thiran
Publsiher: Unknown
Total Pages: 448
Release: 2009
Genre: Electronic Book
ISBN: OCLC:671806386

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The Handbook of Multimodal Multisensor Interfaces Volume 1

The Handbook of Multimodal Multisensor Interfaces  Volume 1
Author: Sharon Oviatt,Björn Schuller,Philip Cohen,Daniel Sonntag,Gerasimos Potamianos
Publsiher: Morgan & Claypool
Total Pages: 600
Release: 2017-06-01
Genre: Computers
ISBN: 9781970001662

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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.