Context Awareness of Everyday Objects in a Household 1st edition by Elena Vildjiounaite, Esko Juhani Malm, Jouni Kaartinen, Petteri Alahuhta ISBN 3540204183 9783540204183

Context Awareness of Everyday Objects in a Household 1st edition by Elena Vildjiounaite, Esko Juhani Malm, Jouni Kaartinen, Petteri Alahuhta – Ebook PDF Instant Download/Delivery. 3540204183, 978-3540204183
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Product details:

ISBN 10:       3540204183
ISBN 13: 978-3540204183
Author:         Elena Vildjiounaite, Esko-Juhani Malm, Jouni Kaartinen, Petteri Alahuhta
 

Context Awareness of Everyday Objects in a Household 1st  Table of contents:

1. Introduction

   • 1.1 Motivation and Background
   • 1.2 Importance of Context-Awareness in Household Objects
   • 1.3 Overview of Context-Aware Systems
   • 1.4 Objectives and Contributions of the Paper
   • 1.5 Structure of the Paper

2. Related Work

   • 2.1 Context-Aware Computing and Ambient Intelligence
   • 2.2 Smart Homes and IoT (Internet of Things) for Household Applications
   • 2.3 Object Recognition and Interaction in Context-Aware Environments
   • 2.4 Challenges in Implementing Context-Awareness in Household Objects
   • 2.5 Gaps and Limitations in Current Research

3. Conceptual Framework for Context-Awareness of Household Objects

   • 3.1 Defining Context-Awareness in Household Objects
   • 3.2 Types of Context: Physical, Environmental, and Social
   • 3.3 Interaction Between Users and Objects in a Household Setting
   • 3.4 System Architecture for Context-Aware Household Objects
   • 3.5 Benefits and Applications of Context-Aware Objects in the Home

4. Contextual Sensing and Data Collection

   • 4.1 Types of Sensors for Context Detection
     • 4.1.1 Motion Sensors
     • 4.1.2 Environmental Sensors (Temperature, Humidity, Light)
     • 4.1.3 User Interaction Sensors (Touch, Proximity)
   • 4.2 Data Collection Methods and Protocols
   • 4.3 Data Fusion and Integration for Context Understanding
   • 4.4 Privacy Considerations in Contextual Data Collection

5. Context-Awareness Techniques for Household Objects

   • 5.1 Context Modeling and Representation
   • 5.2 Machine Learning Approaches for Context Awareness
     • 5.2.1 Supervised and Unsupervised Learning
     • 5.2.2 Real-Time Context Detection
   • 5.3 Activity Recognition and User Behavior Prediction
   • 5.4 Interaction Design for Context-Aware Objects
   • 5.5 Multi-Modal Context Understanding

6. Applications of Context-Aware Household Objects

   • 6.1 Smart Appliances and Household Management
   • 6.2 Home Automation and Energy Efficiency
   • 6.3 Healthcare and Assisted Living in Smart Homes
   • 6.4 Enhancing User Experience with Context-Aware Objects
   • 6.5 Safety and Security Applications in the Household

7. Evaluation and Results

   • 7.1 Experimental Setup for Context-Awareness Systems
   • 7.2 Performance Metrics for Context-Aware Object Systems
   • 7.3 Case Studies and Real-World Applications
   • 7.4 Comparative Analysis of Different Context-Awareness Approaches
   • 7.5 User Feedback and Interaction Studies

8. Challenges and Limitations

   • 8.1 Scalability of Context-Awareness in Large Households
   • 8.2 Accuracy and Robustness of Context Detection
   • 8.3 Privacy and Security Concerns
   • 8.4 Interoperability with Existing Household Devices
   • 8.5 Handling Ambiguity in Contextual Understanding

9. Future Directions

   • 9.1 Advances in Sensor Technologies and Smart Objects
   • 9.2 AI and Deep Learning for Improved Context Recognition
   • 9.3 Integrating Household Objects with Personal Devices (e.g., Smartphones)
   • 9.4 Evolving Context-Awareness for Dynamic Household Environments
   • 9.5 User-Centered Design and Personalized Context-Aware Experiences

10. Conclusion

• 10.1 Summary of Key Findings and Contributions
• 10.2 Implications for Future Household Object Design
• 10.3 Final Thoughts and Future Research Directions

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