Multimodal Signal Processing

Multimodal Signal Processing
Author: Jean-Philippe Thiran,Ferran Marqués,Hervé Bourlard
Publsiher: Academic Press
Total Pages: 352
Release: 2009-11-11
ISBN 10: 9780080888699
ISBN 13: 0080888690
Language: EN, FR, DE, ES & NL

Multimodal Signal Processing Book Review:

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: 286
Release: 2012-06-07
ISBN 10: 1107022290
ISBN 13: 9781107022294
Language: EN, FR, DE, ES & NL

Multimodal Signal Processing Book Review:

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 Theory and Applications for Human computer Interaction

Multimodal Signal Processing  Theory and Applications for Human computer Interaction
Author: Jean-Philippe Thiran
Publsiher: Anonim
Total Pages: 448
Release: 2009
ISBN 10:
ISBN 13: OCLC:671806386
Language: EN, FR, DE, ES & NL

Multimodal Signal Processing Theory and Applications for Human computer Interaction Book Review:

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
ISBN 10: 1970001690
ISBN 13: 9781970001693
Language: EN, FR, DE, ES & NL

The Handbook of Multimodal Multisensor Interfaces Volume 2 Book Review:

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.

Signal Processing and Machine Learning for Biomedical Big Data

Signal Processing and Machine Learning for Biomedical Big Data
Author: Ervin Sejdic,Tiago H. Falk
Publsiher: CRC Press
Total Pages: 606
Release: 2018-07-04
ISBN 10: 1351061216
ISBN 13: 9781351061216
Language: EN, FR, DE, ES & NL

Signal Processing and Machine Learning for Biomedical Big Data Book Review:

This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The chapters will desribe tools that can be used by biomedical and clinical practitioners as well as industry professionals. It will give signal processing researchers a glimpse into the issues faced with Big Medical Data.

Multimodal Behavior Analysis in the Wild

Multimodal Behavior Analysis in the Wild
Author: Xavier Alameda-Pineda,Elisa Ricci,Nicu Sebe
Publsiher: Academic Press
Total Pages: 498
Release: 2018-11-13
ISBN 10: 0128146028
ISBN 13: 9780128146026
Language: EN, FR, DE, ES & NL

Multimodal Behavior Analysis in the Wild Book Review:

Multimodal Behavioral Analysis in the Wild: Advances and Challenges presents the state-of- the-art in behavioral signal processing using different data modalities, with a special focus on identifying the strengths and limitations of current technologies. The book focuses on audio and video modalities, while also emphasizing emerging modalities, such as accelerometer or proximity data. It covers tasks at different levels of complexity, from low level (speaker detection, sensorimotor links, source separation), through middle level (conversational group detection, addresser and addressee identification), and high level (personality and emotion recognition), providing insights on how to exploit inter-level and intra-level links. This is a valuable resource on the state-of-the- art and future research challenges of multi-modal behavioral analysis in the wild. It is suitable for researchers and graduate students in the fields of computer vision, audio processing, pattern recognition, machine learning and social signal processing. Gives a comprehensive collection of information on the state-of-the-art, limitations, and challenges associated with extracting behavioral cues from real-world scenarios Presents numerous applications on how different behavioral cues have been successfully extracted from different data sources Provides a wide variety of methodologies used to extract behavioral cues from multi-modal data

The Paradigm Shift to Multimodality in Contemporary Computer Interfaces

The Paradigm Shift to Multimodality in Contemporary Computer Interfaces
Author: Sharon Oviatt,Philip R. Cohen
Publsiher: Morgan & Claypool Publishers
Total Pages: 243
Release: 2015-04-01
ISBN 10: 1627057528
ISBN 13: 9781627057523
Language: EN, FR, DE, ES & NL

The Paradigm Shift to Multimodality in Contemporary Computer Interfaces Book Review:

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.

Big Data in Multimodal Medical Imaging

Big Data in Multimodal Medical Imaging
Author: Ayman El-Baz,Jasjit S. Suri
Publsiher: CRC Press
Total Pages: 330
Release: 2019-11-05
ISBN 10: 1351380737
ISBN 13: 9781351380737
Language: EN, FR, DE, ES & NL

Big Data in Multimodal Medical Imaging Book Review:

There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.

Autism Imaging and Devices

Autism Imaging and Devices
Author: Manuel F. Casanova,Ayman El-Baz,Jasjit S. Suri
Publsiher: CRC Press
Total Pages: 556
Release: 2017-01-06
ISBN 10: 1315354195
ISBN 13: 9781315354194
Language: EN, FR, DE, ES & NL

Autism Imaging and Devices Book Review:

This book covers state-of-the-art medical image analysis approaches currently pursued in autism research. Chapters cover recent advances in diagnosis using structural neuroimaging. All aspects of imaging are included, such as electrophysiology (EEG, ERP, QEEG, and MEG), postmortem techniques, and advantages and difficulties of depositing/acquiring images in larger databases. The book incorporates 2D, 3D, and 4D imaging and advances scientific research within the broad field of autism imaging.

Advances in Cardiac Signal Processing

Advances in Cardiac Signal Processing
Author: U. Rajendra Acharya
Publsiher: Springer Science & Business Media
Total Pages: 468
Release: 2007-04-25
ISBN 10: 354036675X
ISBN 13: 9783540366751
Language: EN, FR, DE, ES & NL

Advances in Cardiac Signal Processing Book Review:

This book provides a comprehensive review of progress in the acquisition and extraction of electrocardiogram signals. The coverage is extensive, from a review of filtering techniques to measurement of heart rate variability, to aortic pressure measurement, to strategies for assessing contractile effort of the left ventricle and more. The book concludes by assessing the future of cardiac signal processing, leading to next generation research which directly impact cardiac health care.

Social Signal Processing

Social Signal Processing
Author: Judee K. Burgoon,Nadia Magnenat-Thalmann,Maja Pantic,Alessandro Vinciarelli
Publsiher: Cambridge University Press
Total Pages: 440
Release: 2017-05-08
ISBN 10: 1107161266
ISBN 13: 9781107161269
Language: EN, FR, DE, ES & NL

Social Signal Processing Book Review:

This book provides comprehensive, authoritative surveys covering the modeling, automatic detection, analysis, and synthesis of nonverbal social signals.

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

Speech  Image  and Language Processing for Human Computer Interaction  Multi Modal Advancements
Author: Tiwary, Uma Shanker
Publsiher: IGI Global
Total Pages: 386
Release: 2012-04-30
ISBN 10: 1466609559
ISBN 13: 9781466609556
Language: EN, FR, DE, ES & NL

Speech Image and Language Processing for Human Computer Interaction Multi Modal Advancements Book Review:

"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.

Intelligent Multi Modal Data Processing

Intelligent Multi Modal Data Processing
Author: Siddhartha Bhattacharyya,Soham Sarkar,Abhishek Basu
Publsiher: Wiley
Total Pages: 350
Release: 2021-03-01
ISBN 10: 9781119571384
ISBN 13: 1119571383
Language: EN, FR, DE, ES & NL

Intelligent Multi Modal Data Processing Book Review:

This book offers contributions on intelligent approach towards emerging areas in signal and data processing. Each chapter is expected to be self-contained and cover an in-depth analysis of state-of-the-art applications of signal and data. The book is aimed to encompass the following broad topics viz., (i) Image Processing, (ii) Audio Processing (iii) Video Processing (iv) Multimedia Data Security.

Sensory Ecology Behaviour and Evolution

Sensory Ecology  Behaviour  and Evolution
Author: Martin Stevens
Publsiher: Oxford University Press
Total Pages: 247
Release: 2013-02-07
ISBN 10: 019960178X
ISBN 13: 9780199601783
Language: EN, FR, DE, ES & NL

Sensory Ecology Behaviour and Evolution Book Review:

This is the first modern textbook of sensory ecology in two decades, one of the most popular and rapidly growing subjects in biology. The topic deals with how animals capture (and send) information from their environment, and the sensory systems involved. It investigates the type of information that is gathered by animals, how it is used in a range of behaviours, and the evolution of such traits. Sensory ecology deals with both mechanistic questions (e.g. howsensory receptors capture information from the environment, and how the physical attributes of the environment affect information transmission) and functional questions (e.g. the adaptive significance ofthe information used by the animal to make a decision). Sensory ecology covers the full range of sensory systems and types of sensory information (sound, visual, chemical, magnetic, electric etc.). The latest research has dealt more explicitly with how sensory systems may actually drive evolutionary change, including the formation of new species. This book provides an introduction to the key ideas, theories, and examples, describes how sensory systems work, and explores the links between thesenses, animal signals, behaviour, and evolution.

The Handbook of Multimodal multisensor Interfaces

The Handbook of Multimodal multisensor Interfaces
Author: Sharon Oviatt
Publsiher: ACM Books
Total Pages: 607
Release: 2017
ISBN 10: 9781970001648
ISBN 13: 197000164X
Language: EN, FR, DE, ES & NL

The Handbook of Multimodal multisensor Interfaces Book Review:

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

Adaptive Processing of Brain Signals

Adaptive Processing of Brain Signals
Author: Saeid Sanei
Publsiher: John Wiley & Sons
Total Pages: 472
Release: 2013-05-28
ISBN 10: 1118622146
ISBN 13: 9781118622148
Language: EN, FR, DE, ES & NL

Adaptive Processing of Brain Signals Book Review:

In this book, the field of adaptive learning and processing is extended to arguably one of its most important contexts which is the understanding and analysis of brain signals. No attempt is made to comment on physiological aspects of brain activity; instead, signal processing methods are developed and used to assist clinical findings. Recent developments in detection, estimation and separation of diagnostic cues from different modality neuroimaging systems are discussed. These include constrained nonlinear signal processing techniques which incorporate sparsity, nonstationarity, multimodal data, and multiway techniques. Key features: Covers advanced and adaptive signal processing techniques for the processing of electroencephalography (EEG) and magneto-encephalography (MEG) signals, and their correlation to the corresponding functional magnetic resonance imaging (fMRI) Provides advanced tools for the detection, monitoring, separation, localising and understanding of functional, anatomical, and physiological abnormalities of the brain Puts a major emphasis on brain dynamics and how this can be evaluated for the assessment of brain activity in various states such as for brain-computer interfacing emotions and mental fatigue analysis Focuses on multimodal and multiway adaptive processing of brain signals, the new direction of brain signal research

Deep Learning

Deep Learning
Author: Li Deng,Dong Yu
Publsiher: Anonim
Total Pages: 212
Release: 2014
ISBN 10: 9781601988140
ISBN 13: 1601988141
Language: EN, FR, DE, ES & NL

Deep Learning Book Review:

Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks

Intelligent Speech Signal Processing

Intelligent Speech Signal Processing
Author: Nilanjan Dey
Publsiher: Academic Press
Total Pages: 209
Release: 2019-03-27
ISBN 10: 0128181311
ISBN 13: 9780128181317
Language: EN, FR, DE, ES & NL

Intelligent Speech Signal Processing Book Review:

Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing. Highlights different data analytics techniques in speech signal processing, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and neural networks techniques for speech signal processing Includes coverage of biomodal speech recognition, voice activity detection, spoken language and speech disorder identification, automatic speech to speech summarization, and convolutional neural networks

Advanced Methods of Biomedical Signal Processing

Advanced Methods of Biomedical Signal Processing
Author: Sergio Cerutti,Carlo Marchesi
Publsiher: John Wiley & Sons
Total Pages: 608
Release: 2011-06-09
ISBN 10: 9781118007730
ISBN 13: 1118007735
Language: EN, FR, DE, ES & NL

Advanced Methods of Biomedical Signal Processing Book Review:

This book grew out of the IEEE-EMBS Summer Schools on Biomedical Signal Processing, which have been held annually since 2002 to provide the participants state-of-the-art knowledge on emerging areas in biomedical engineering. Prominent experts in the areas of biomedical signal processing, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as their clinical or physiological applications. The book provides an overview of a compelling group of advanced biomedical signal processing techniques, such as multisource and multiscale integration of information for physiology and clinical decision; the impact of advanced methods of signal processing in cardiology and neurology; the integration of signal processing methods with a modelling approach; complexity measurement from biomedical signals; higher order analysis in biomedical signals; advanced methods of signal and data processing in genomics and proteomics; and classification and parameter enhancement.

Academic Press Library in Signal Processing Volume 6

Academic Press Library in Signal Processing  Volume 6
Author: Anonim
Publsiher: Academic Press
Total Pages: 458
Release: 2017-11-28
ISBN 10: 0128119004
ISBN 13: 9780128119006
Language: EN, FR, DE, ES & NL

Academic Press Library in Signal Processing Volume 6 Book Review:

Academic Press Library in Signal Processing, Volume 6: Image and Video Processing and Analysis and Computer Vision is aimed at university researchers, post graduate students and R&D engineers in the industry, providing a tutorial-based, comprehensive review of key topics and technologies of research in both image and video processing and analysis and computer vision. The book provides an invaluable starting point to the area through the insight and understanding that it provides. With this reference, readers will quickly grasp an unfamiliar area of research, understand the underlying principles of a topic, learn how a topic relates to other areas, and learn of research issues yet to be resolved. Presents a quick tutorial of reviews of important and emerging topics of research Explores core principles, technologies, algorithms and applications Edited and contributed by international leading figures in the field Includes comprehensive references to journal articles and other literature upon which to build further, more detailed knowledge