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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Boston :
Elsevier/Academic,
©2010.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.