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Intelligent data sensing and processing for health and well-being applications /
Intelligent Data Sensing and Processing for Health and Well-being Applications uniquely combines full exploration of the latest technologies for sensor-collected intelligence with detailed coverage of real-case applications for healthcare and well-being at home and in the workplace. Forward-thinking...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Academic Press,
[2018]
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| Colección: | Intelligent data centric systems.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Front Cover; Intelligent Data Sensing and Processing for Health and Well-being Applications; Copyright; Contents; Contributors; Foreword; Preface; Part 1: Introduction to Smart Sensors; Chapter 1: Charting the Past, Present, and Future in Mobile Sensing Research and Development; 1.1. Introduction; 1.1.1. Research and Development in Mobile Sensing; 1.1.1.1. The use of custom sensing devices; 1.1.1.2. The use of built-in sensors; 1.1.1.3. The use of commercial sensors; 1.2. Methods; 1.2.1. Search and Selection Process; 1.2.2. Data Abstraction; 1.2.2.1. Reviewed papers' contribution
- 1.2.2.2. Data collection techniques1.2.2.3. Multidisciplinary research; 1.2.2.4. Health care application domain; 1.3. Results; 1.3.1. Sensing Scope and Paradigm; 1.3.2. Study Aims and Contributions; 1.3.3. Health Care Application Domains; 1.3.4. Mobile Sensors; 1.3.5. Multidisciplinary Research; 1.4. Conclusions; References; Further Reading; Chapter 2: Data Fusion Architecture of Heterogeneous Sources Obtained From a Smart Desk; 2.1. Introduction; 2.2. Literature Review; 2.3. Data Fusion Classification; 2.4. Data Fusion Architectures and Methods; 2.5. Proposal; 2.6. Conclusions; References
- Further ReadingChapter 3: Wireless Sensor Technology for Intelligent Data Sensing: Research Trends and Challenges; 3.1. Introduction; 3.2. Data Aggregation in Wireless Sensor Networks; 3.2.1. Data Aggregation Performance Metrics; 3.2.2. Data Aggregation Approaches; 3.2.3. Data Aggregation Techniques; 3.2.4. Data Aggregation Protocols; 3.2.5. Data Aggregation Security; 3.2.5.1. Basic requirements for data aggregation security; 3.2.5.2. Data aggregation attacker profile; 3.2.5.3. Data aggregation security attacks; 3.2.5.4. Data aggregation security protocols for heterogeneous WSNs
- 3.2.5.4.1. SRDA3.2.5.4.2. CDAP; 3.2.5.4.3. PIA; 3.2.5.4.4. Secure encrypted-data aggregation for wireless sensor networks; 3.2.5.4.5. SDAKM; 3.2.5.4.6. RCDA; 3.2.5.4.7. A watermarking-based mechanism for data aggregation security in heterogeneous WSNs; 3.3. Routing in Wireless Sensor Networks; 3.4. Fault Tolerance in WSN; 3.5. Conclusion; References; Part 2: Sensing in Health and Well-Being Applications; Chapter 4: Tangible User Interfaces for Ambient Assisted Working; 4.1. Introduction; 4.2. Ambient Intelligence; 4.2.1. General Concepts; 4.2.2. Ambient Assisted Living
- 4.2.3. Ambient Assisted Working4.3. Tangible Interfaces; 4.3.1. TAC Paradigm; 4.3.2. Classification; 4.3.3. Advantages; 4.3.4. Limitations; 4.4. Intelligent Interfaces; 4.4.1. General Architecture; 4.5. Tangible Interfaces for AAW; 4.5.1. Background; 4.5.1.1. Actuation; 4.5.2. AI Topics for TUIs; 4.5.2.1. Knowledge representation; 4.5.2.2. Models; 4.5.2.3. Learning; 4.5.2.4. Personalization examples; 4.5.3. Intelligent Tangible Interfaces; 4.5.3.1. Possible future scenario; 4.6. Conclusions; References