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The Handbook of Multimodal-Multisensor Interfaces, Volume 2: Signal Processing, Architectures, and Detection of Emotion and Cognition, Sharon Oviatt, Bjorn Schuller, Philip Cohen, Daniel Sonntag, Gerasimos Potamianos, Antonio Kruger


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Автор: Sharon Oviatt, Bjorn Schuller, Philip Cohen, Daniel Sonntag, Gerasimos Potamianos, Antonio Kruger
Название:  The Handbook of Multimodal-Multisensor Interfaces, Volume 2: Signal Processing, Architectures, and Detection of Emotion and Cognition
ISBN: 9781970001686
Издательство: Mare Nostrum (Eurospan)
Классификация:



ISBN-10: 1970001682
Обложка/Формат: Paperback
Страницы: 555
Вес: 0.94 кг.
Дата издания: 30.10.2018
Серия: Acm books
Язык: English
Размер: 235 x 191 x 29
Ключевые слова: Information technology: general issues,Computer science,Signal processing,Human-computer interaction, COMPUTERS / Computer Science,COMPUTERS / Social Aspects / Human-Computer Interaction,COMPUTERS / User Interfaces
Подзаголовок: Signal processing, architectures, and detection of emotion and cognition
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Поставляется из: Англии
Описание: 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.
Дополнительное описание: Computer science|Human–computer interaction|Digital signal processing (DSP)|Information technology: general topics



The Handbook of Multimodal-Multisensor Interfaces, Volume 2: Signal Processing, Architectures, and Detection of Emotion and Cognition

Автор: Oviatt Sharon, Schuller Bjorn, Cohen Philip
Название: The Handbook of Multimodal-Multisensor Interfaces, Volume 2: Signal Processing, Architectures, and Detection of Emotion and Cognition
ISBN: 1970001712 ISBN-13(EAN): 9781970001716
Издательство: Mare Nostrum (Eurospan)
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Цена: 15481.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Unimodal and Multimodal Biometric Data Indexing

Автор: Somnath Dey, Debasis Samanta
Название: Unimodal and Multimodal Biometric Data Indexing
ISBN: 1614517452 ISBN-13(EAN): 9781614517450
Издательство: Walter de Gruyter
Цена: 13937.00 р.
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Описание: This work is on biometric data indexing for large-scale identification systems with a focus on different biometrics data indexing methods.  It provides state-of-the-art coverage including different biometric traits, together with the pros and cons for each.  Discussion of different multimodal fusion strategies are also included.

Advances in Multimodal Interfaces - ICMI 2000

Автор: Tieniu Tan; Yuanchun Shi; Wen Gao
Название: Advances in Multimodal Interfaces - ICMI 2000
ISBN: 3540411801 ISBN-13(EAN): 9783540411802
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The papers presented here are organized in topical sections on affective and perceptual computing gesture recognition, face and facial expression detection, recognition and synthesis, multilingual interfaces and natural language understanding.

Development of Multimodal Interfaces: Active Listening and Synchrony

Автор: Anna Esposito; Nick Campbell; Carl Vogel; Amir Hus
Название: Development of Multimodal Interfaces: Active Listening and Synchrony
ISBN: 3642123961 ISBN-13(EAN): 9783642123962
Издательство: Springer
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Цена: 12577.00 р.
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Описание: Emphasizes theoretical and practical issues for modelling human-machine interaction, ranging from the attempt in describing `the spacing and orientation in co-present interaction` to the effort for developing multimodal interfaces, collecting and analysing interaction data and emergent behaviour.

Design of Multimodal Mobile Interfaces

Автор: Nava Shaked, Ute Winter
Название: Design of Multimodal Mobile Interfaces
ISBN: 1501510843 ISBN-13(EAN): 9781501510847
Издательство: Walter de Gruyter
Цена: 11148.00 р.
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Описание: The “smart mobile” has become an essential and inseparable part of our lives. This powerful tool enables us to perform multi-tasks in different modalities of voice, text, gesture, etc. The user plays an important role in the mode of operation, so multimodal interaction provides the user with new complex multiple modalities of interfacing with a system, such as speech, touch, type and more. The book will discuss the new world of mobile multimodality, focusing on innovative technologies and design which create a state-of-the-art user interface. It will examine the practical challenges entailed in meeting commercial deployment goals, and offer new approaches to the designing such interfaces. A multimodal interface for mobile devices requires the integration of several recognition technologies together with sophisticated user interface and distinct tools for input and output of data. The book will address the challenge of designing devices in a synergetic fashion which does not burden the user or to create a technological overload.


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