Human-centric interfaces for ambient intelligence

To create truly effective human-centric ambient intelligence systems both engineering and computing methods are needed. This is the first book to bridge data processing and intelligent reasoning methods for the creation of human-centered ambient intelligence systems. Interdisciplinary in nature, the...

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Bibliographic Details
Main Author: Aghajan, Hamid K.
Other Authors: López-Cózar Delgado, Ramón., Augusto, Juan Carlos.
Format: eBook
Language: English
Published: Amsterdam ; Boston : Elsevier/Academic, ©2010.
Subjects:
Ambient intelligence.
elektronické knihy
electronic books
ISBN: 9780080878508
0080878504
1282754890
9781282754898
9780123747082
0123747082
Physical Description: 1 online resource (xxvii, 514 pages) : illustrations

Cover

Table of contents

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020 |a 9780080878508  |q (electronic bk.) 
020 |a 0080878504  |q (electronic bk.) 
020 |a 1282754890 
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020 |z 9780123747082 
020 |z 0123747082 
035 |a (OCoLC)608478166  |z (OCoLC)729019566  |z (OCoLC)816581041  |z (OCoLC)823124498 
100 1 |a Aghajan, Hamid K. 
245 1 0 |a Human-centric interfaces for ambient intelligence /  |c edited by Hamid Aghajan, Ramon Lopez-Cozar Delgado, Juan Carlos Augusto. 
260 |a Amsterdam ;  |a Boston :  |b Elsevier/Academic,  |c ©2010. 
300 |a 1 online resource (xxvii, 514 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a Cover13; -- Human-Centric Interfaces for Ambient Intelligence13; -- Copyright Page13; -- Contents13; -- Foreword13; -- Preface13; -- Ambient Intelligence -- Human-Centric Design -- Vision and Visual Interfaces -- Speech Processing and Dialogue Management -- Multimodal Interfaces -- Smart Environment Applications -- Conclusions -- Acknowledgments -- Part 1: Vision and Visual Interfaces13; -- Chapter 1: Face-to-Face Collaborative Interfaces -- 1.1 Introduction -- 1.2 Background -- 1.3 Surface User Interface -- 1.4 Multitouch -- 1.5 Gestural Interaction -- 1.6 Gestural Infrastructures -- 1.7 Touch versus Mouse -- 1.8 Design Guidelines for SUIs for Collaboration13; -- 1.9 Conclusions -- References -- Chapter 2: Computer Vision Interfaces for Interactive Art13; -- 2.1 Introduction -- 2.2 A Taxonomy of Vision-Based Art -- 2.3 Paradigms for Vision-Based Interactive Art -- 2.4 Software Tools -- 2.5 Frontiers of Computer Vision -- 2.6 Sources of Information -- 2.7 Summary -- Acknowledgments -- References -- Chapter 3: Ubiquitous Gaze -- 3.1 Introduction -- 3.2 The Role of Gaze in Interaction -- 3.3 Gaze as an Input Device -- 3.4 Mediated Communication -- 3.5 Conclusion -- References -- Chapter 4: Exploiting Natural Language Generation in Scene Interpretation -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Ontology-Based User Interfaces -- 4.4 Vision and Conceptual Levels -- 4.5 The NLG Module -- 4.6 Experimental Results -- 4.7 Evaluation -- 4.8 Conclusions -- Acknowledgments -- Appendix Listing of Detected Facts Sorted by Frequency of Use -- References -- Chapter 5: The Language of Action -- 5.1 Introduction -- 5.2 Human Action -- 5.3 Learning the Languages of Human Action -- 5.4 Grammars of Visual Human Movement -- 5.5 Grammars of Motoric Human Movement -- 5.6 Applications to Health -- 5.7 Applications to Artificial Intelligence and Cognitive Systems -- 5.8 Conclusions -- Acknowledgments -- References -- Part 2: Speech Processing and Dialogue Management13; -- Chapter 6: Robust Speech Recognition Under Noisy Ambient Conditions -- 6.1 Introduction -- 6.2 Speech Recognition Overview -- 6.3 Variability in the Speech Signal -- 6.4 Robust Speech Recognition Techniques -- 6.5 Summary -- References -- Chapter 7: Speaker Recognition in Smart Environments -- 7.1 Principles and Applications of Speaker Recognition -- 7.2 Text-Dependent Speaker Recognition Methods -- 7.3 Text-Independent Speaker Recognition Methods -- 7.4 Text-Prompted Speaker Recognition -- 7.5 High-Level Speaker Recognition -- 7.6 Normalization and Adaptation Techniques -- 7.7 ROC and DET Curves -- 7.8 Speaker Diarization -- 7.9 Multimodal Speaker Recognition -- 7.10 Outstanding Issues -- References -- Chapter 8: Machine Learning Approaches to Spoken Language Understanding for Ambient Intelligence -- 8.1 Introduction -- 8.2 Statistical Spoken Language Understanding -- 8.3 Conditional Random Fields -- 8.4 Efficient Algorithms for Inference and Learning -- 8.5 Transfer Learning for Spoken Language Understanding -- 8.6 Joint Prediction of Dialogue Acts and Named Entities -- 8.7 Multi-Domain Spoken Language Understanding -- 8.8 Conclusion and Future Direction -- Acknowledgments -- References -- T$275. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a To create truly effective human-centric ambient intelligence systems both engineering and computing methods are needed. This is the first book to bridge data processing and intelligent reasoning methods for the creation of human-centered ambient intelligence systems. Interdisciplinary in nature, the book covers topics such as multi-modal interfaces, human-computer interaction, smart environments and pervasive computing, addressing principles, paradigms, methods and applications. This book will be an ideal reference for university researchers, R&D engineers, computer engineers, and graduat. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Ambient intelligence. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a López-Cózar Delgado, Ramón. 
700 1 |a Augusto, Juan Carlos. 
776 0 8 |i Print version:  |t Human-centric interfaces for ambient intelligence.  |d Burlington, MA : Elsevier, Academic Press, ©2010  |z 0123747082  |w (OCoLC)353866206 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpHCIAI003/human-centric-interfaces?kpromoter=marc  |y Full text 

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