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Handbook of Research on Ambient Intelligence and Smart Environments

Book Description

Handbook of Research on Ambient Intelligence and Smart Environments: Trends and Perspectives covers the cutting-edge aspects of AMI applications, specifically those involving the effective design, realization, and implementation of a comprehensive AmI application. This pertinent publication targets researchers and practitioners in Ambient Intelligence, as well as those in ubiquitous and pervasive computing, artificial intelligence, sensor networks, knowledge representation, automated reasoning and learning, system and software engineering, and man-machine interfaces.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board
  5. Dedication
  6. Foreword
  7. Preface
    1. Why is Ambient Intelligence Challenging?
    2. The Ambient Intelligence Slogans
    3. Few Keywords
    4. What is this Book for?
  8. Chapter 1: Ambient Intelligence as Cognitive Niche Enrichment
    1. Abstract
    2. Introduction
    3. Ambient Intelligence and Distributing Cognition
    4. Ambient Intelligence as Cognitive Niche Enrichment
    5. Ambient Intelligence and Adapting Affordances
    6. Conclusions
  9. Chapter 2: Tracking Persons
    1. ABSTRACT
    2. INTRODUCTION
    3. GRAPH BASED TRACKING
    4. FEATURES BASED TRACKING AND MATCHING WITH A MODEL
    5. TRACKING IN A NETWORK OF CAMERAS WITH PARTICULE FILTERING
    6. CONCLUSION
  10. Chapter 3: SensFloor® and NaviFloor®
    1. Abstract
    2. SensFloor®: A large-area capacitive sensor system
    3. System description
    4. Applications of SensFloor®
    5. Sensor data processing techniques
    6. NaviFloor®: A large area navigation system
    7. Summary
  11. Chapter 4: Embedding Context-Awareness into a Daily Object for Improved Information Awareness
    1. ABSTRACT
    2. INTRODUCTION
    3. A MIRROR AS A PERIPHERAL INFORMATION DISPLAY
    4. DESIGNING AWAREMIRROR SYSTEM
    5. PROTOTYPE IMPLEMENTATION
    6. USER PREFERENCES FOR USER IDENTIFICATION METHOD
    7. COMPARATIVE STUDY ON INTERACTION METHODS WITH AWAREMIRROR
    8. CONCLUSIONS
  12. Chapter 5: Image-Word Mapping
    1. Abstract
    2. Introduction
    3. Descriptions for Humans
    4. Multiple Resolution Descriptions
    5. Semantic Differential Representation
    6. Symbol-Number Descriptions
    7. Analogical Descriptions
    8. Shape Recognition in Words
    9. Interactive Facial Reconstruction
    10. Conclusions
  13. Chapter 6: A Survey on the use of Emotions, Mood, and Personality in Ambient Intelligence and Smart Environments
    1. ABSTRACT
    2. INTRODUCTION
    3. Emotional, Mood and Personality Modelling
    4. Architectures for Emotional Agents
    5. Implementations of emotional agents in AmI Environments
    6. CONCLUSIONS
  14. Chapter 7: Logical Modeling of Emotions for Ambient Intelligence
    1. Abstract
    2. Introduction
    3. State of the Art
    4. Logical Modeling of Emotions
    5. Case Study
    6. Conclusion
  15. Chapter 8: Incorporating Human Aspects in Ambient Intelligence and Smart Environments
    1. Abstract
    2. Human Knowledge in Ambient Intelligence
    3. Framework for Reflective Coupled Human-Environment Systems
    4. Automated Visual Attention Manipulation
  16. Chapter 9: Assistive Technologies in Smart Homes
    1. Abstract
    2. Introduction
    3. Home Networking Technologies
    4. Sensing Technologies
    5. Smart Homes in the World
    6. Assistive Services in Smart Homes
    7. Conclusion
  17. Chapter 10: System Support for Smart Spaces
    1. Abstract
    2. Introduction
    3. Abstractions Used to Convey Services
    4. Service Discovery
    5. Naming
    6. Protection
    7. Communication and Synchronization
    8. System Support for Adaptation and Reconfigurability
    9. Examples
    10. Conclusion
  18. Chapter 11: MEDUSA
    1. Abstract
    2. Introduction
    3. Related Work
    4. MEDUSA Middleware
    5. Conclusion
  19. Chapter 12: Home Service Engineering for Sensor Networks
    1. Abstract
    2. Motivation for IT-Based Home Services
    3. Home Services Engineering in Focus
    4. Engineering Focus
    5. Conclusion and Transportation
  20. Chapter 13: Dynamic Ambient Networks with Middleware
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. AMBIENT MIDDLEWARE
    5. AMBIENT NETWORK ARCHITECTURE
    6. CONCLUSION
  21. Chapter 14: Using Context Awareness for Self-Management in Pervasive Service Middleware
    1. Abstract
    2. Introduction to Context Awareness Middleware
    3. Middleware for Self Management in AmI
    4. Self-Management Specification with the SeMaPS Ontologies using SWRL Rules
    5. Architecture and Implementation of Self-Management in LinkSmart
    6. A Self-Management Scenario with the LinkSmart Middleware
    7. Conclusion
  22. Chapter 15: An Ontology-Based Context-Aware Infrastructure for Smart Homes
    1. Abstract
    2. Introduction
    3. Background on Context-Aware System Development
    4. Ontology-Based Context Modeling
    5. Context Infrastructure Implementation
    6. Developing Applications
    7. Evaluation and Discussion
    8. Summary
  23. Chapter 16: State-of-the-Art Assistive Technology for People with Dementia
    1. Abstract
    2. Introduction
    3. Challenges
    4. Assistive Hardware
    5. Assistive Software
    6. Discussion
    7. Conclusion
  24. Chapter 17: Challenging Issues of Ambient Activity Recognition for Cognitive Assistance
    1. Abstract
    2. Introduction
    3. Foundations of Activity Recognition
    4. Related Works on Activity Recognition
    5. Conclusion: Challenges and Perspectives
  25. Chapter 18: Logic-Based Approaches to Intention Recognition
    1. Abstract
    2. 1 INTRODUCTION
    3. 2 BACKGROUND AND ISSUES
    4. 3 LOGIC-BASED APPROACHES TO INTENTION RECOGNITION
    5. 4 CASE STUDIES OF LOGIC-BASED APPROACHES
    6. 5 CONCLUSION AND CHALLENGES
  26. Chapter 19: Inference of Human Intentions in Context Aware Systems
    1. Abstract
    2. 1 Background
    3. 2 The Human Dimensional Inference Ontology
    4. 3 Human Intentions and Goals in Requirements Engineering
    5. 4 Conclusion
  27. Chapter 20: Ambient Intelligence for Eldercare – the Nuts and Bolts
    1. Abstract
    2. I. INTRODUCTION
    3. II. SENSOR DATA ACQUISITION AND MICRO-CONTEXT
    4. III. ACTIVITIES AS PHENOMENA
    5. IV. FEATURE EXTRACTION FROM SENSOR DATA
    6. V. DATA FUSION INFORMATION QUALITY
    7. VI. ACTIVITY RECOGNITION ALGORITHMS
    8. VII HIGHER LEVEL INTELLIGENCE
    9. VIII CONCLUSION
  28. Chapter 21: Behaviour Monitoring and Interpretation
    1. Abstract
    2. The Walking Behaviours of Pedestrians
    3. Spatial Scales
    4. Direct versus Indirect Observations, Stationary versus Location Independent Observations, Anytime Behaviour versus Post Hoc Analysis
    5. Reality versus Virtuality versus Mixed Reality
    6. Active versus Passive Behaviours
    7. Allocentric versus Local Monitoring
    8. Temporal Aspects
    9. Discussion
    10. Future Prospects
  29. Chapter 22: Recognising Human Behaviour in a Spatio-Temporal Context
    1. Abstract
    2. Introduction
    3. An AI Perspective on the Smart Home
    4. Using Contextual Data in a Smart Home
    5. The Difference Between Space and Time for Smart Homes
    6. Context Awareness
    7. A System Using Spatial, Temporal, and Contextual Data for Behaviour Recognition
    8. Possible Implementation Strategies
    9. Spatio-Temporal Reasoning
    10. Behaviour Recognition
    11. Possible Implementations of the Layers
    12. Summary
  30. Chapter 23: Prototyping Smart Assistance with Bayesian Autonomous Driver Models
    1. Abstract
    2. 1 Introduction
    3. 2 Distributed Cognition, (Partial) Cooperation, Smart Assistance, and Ambient Intelligence in Driving Scenarios
    4. 3 Probabilistic Models of Human Behavior and Cognition in Traffic Scenarios
    5. 4 Experimental Results
    6. 5 Bayesian Learning of Bayesian Agent Models
    7. 6 The Conversion of BAD Models to Bayesian Assistance Systems
    8. 7 Conclusion and Outlook
    9. Appendix A. DAGs of Static and Dynamic Bayesian Models
    10. Appendix B. Netica Implementations of Paradigmatic Dynamic Bayesian Agent Models
  31. Chapter 24: Context-Sensitive Spatial Interaction and Ambient Control
    1. Abstract
    2. 1 SENIORS IN SPE IN THE BREMEN AMBIENT ASSISTED LIVING LAB
    3. 2 MOBILITY ASSISTANTS
    4. 3 SMART ENVIRONMENT CONTROL
    5. 4 SPATIAL KNOWLEDGE REPRESENTATION, REASONING
    6. 5 SPATIAL INTERACTION
    7. 6 FUTURE WORK
  32. Chapter 25: Proactive Assistance in Ecologies of Physically Embedded Intelligent Systems A Constraint-Based Approach
    1. Abstract
    2. 1 INTRODUCTION
    3. 2 THE PEIS-ECOLOGY CONCEPT AND THE PEIS-HOME
    4. 3 ACTIVITY MONITORING IN A PEIS-ECOLOGY
    5. 4 RECOGNIZING ACTIVITIES AND EXECUTING PROACTIVE SERVICES IN SAM
    6. 5 CASE STUDIES IN THE PEIS-HOME
    7. 6 RELATED WORK
    8. 7 CONCLUSION
  33. Chapter 26: Self-organizing Mobile Sensor Network
    1. Abstract
    2. 1. INTRODUCTION
    3. 2. ROBOT SWARM DOMAIN-SPECIFIC COORDINATION CHALLENGES
    4. 3. DECENTRALIZED COORDINATION PROBLEM
    5. 4. UNIFIED COORDINATION FRAMEWORK
    6. 5. ADAPTIVE SELF-CONFIGURATION
    7. 6. ADAPTIVE FLOCKING
    8. 7. SUMMARY AND FUTURE DIRECTION
  34. Chapter 27: Pervasive Computing for Efficient Energy
    1. Abstract
    2. INTRODUCTION
    3. PERVASIVE COMPUTING AND INTELLIGENT HOUSEHOLDS
    4. ENERGY CONSUMPTION MANAGER
    5. ADVANCED FEATURES OF ENERGY CONSUMPTION MANAGER
    6. IMPLEMENTATION ASPECTS
    7. CONCLUSION
  35. Chapter 28: Ambient Intelligence and Immersive Geospatial Visual Analytics
    1. Abstract
    2. BOUNDARY-FREE SPATIAL DOMAIN FOR AMBIENT INTELLIGENCE
    3. RELATED WORK
    4. INTELLIGENT GEOSPATIAL VISUAL ANALYTICS
  36. Chapter 29: Possibilities of Ambient Intelligence and Smart Environments in Educational Institutions
    1. Abstract
    2. INTRODUCTION
    3. AMBIENT INTELLIGENCE
    4. NET GENERATION AND HOMO ZAPPIENS
    5. TECHNOLOGY IN EDUCATIONAL PROCESS
    6. AMI VISIONS FOR UNIVERSITY
    7. POSSIBLE AMBIENT INTELLIGENCE APPLICATION ARCHITECTURES
    8. RESULTS OF BRIEF SURVEY OF VISIONS ACCEPTANCE
    9. CONCLUSION
  37. Chapter 30: Opinion Mining and Information Retrieval
    1. Abstract
    2. INTRODUCTION
    3. FEATURE-BASED OPINION MINING
    4. USER GENERATED CONTENT
    5. SENTIMENT CLASSIFICATION
    6. APPLICATION OF OPINION MINING IN E-COMMERCE
    7. SUMMARY
  38. Compilation of References
  39. About the Contributors
  40. Index