Screen LibraryIntelligent 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...
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| Corporate Authors: | |
|---|---|
| Group Author: | ; ; ; |
| Published: |
Academic Press,
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| Publisher Address: | London : |
| Publication Dates: |
[2018] ©2018 |
| Literature type: | eBook |
| Language: | English |
| Series: |
Intelligent data centric systems
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| Subjects: | |
| Online Access: |
https://www.sciencedirect.com/science/book/9780128121306 |
| Summary: |
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 in its approach, the book presents concepts and technologies needed for the implementation of today's mobile, pervasive and ubiquitous systems, and for tomorrow's IoT and cyber-physical systems. Users will find a detailed overview of the fundamental concepts of gathering, processing and analyzing data from devices disseminated in the environment, as well as the latest proposals for collecting, processing and abstraction of data-sets. In addition, the book addresses algorithms, methods and technologies for diagnosis and informed decision-making for healthcare and well-being. Topics include emotional interface with ambient intelligence and emerging applications in detection and diagnosis of neurological diseases. Finally, the book explores the trends and challenges in an array of areas, such as applications for intelligent monitoring in the workplace for well-being, acquiring data traffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home. |
| Carrier Form: | 1 online resource. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: |
9780128123201 0128123206 |
| Index Number: | RA776 |
| CLC: | R1-37 |
| Contents: |
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 |