東華大學圖書館 |

Intelligent data sensing and processing for health and well-being applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent data sensing and processing for health and well-being applications/ edited by Miguel Wister, Pablo Pancardo, Francisco Acosta, José Adán Hernández.
other author:	Wister, Miguel,
Published:	London :Academic Press, : 2018.,
Description:	1 online resource.
[NT 15003449]:	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
[NT 15003449]:	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
[NT 15003449]:	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
[NT 15003449]:	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 inheterogeneous 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
[NT 15003449]:	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
Subject:	Health - Data processing. -
Online resource:	https://www.sciencedirect.com/science/book/9780128121306
ISBN:	9780128123201 (electronic bk.)

Intelligent data sensing and processing for health and well-being applications
Intelligent data sensing and processing for health and well-being applications[electronic resource] /edited by Miguel Wister, Pablo Pancardo, Francisco Acosta, José Adán Hernández. - London :Academic Press,2018. - 1 online resource. - Intelligent data centric systems. - Intelligent data centric systems..

Includes bibliographical references and index.

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

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 andabstraction 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 datatraffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home.

ISBN: 9780128123201 (electronic bk.)Subjects--Topical Terms:

3508694
Health
--Data processing.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: RA776

Dewey Class. No.: 613

National Library of Medicine Call No.: 2018 I-147

Intelligent data sensing and processing for health and well-being applications
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245 0 0 $a Intelligent data sensing and processing for health and well-being applications $h [electronic resource] / $c edited by Miguel Wister, Pablo Pancardo, Francisco Acosta, José Adán Hernández.
260 $a London : $b Academic Press, $c 2018.
300 $a 1 online resource.
490 1 $a Intelligent data centric systems
504 $a Includes bibliographical references and index.
505 0 $a 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
505 8 $a 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
505 8 $a 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
505 8 $a 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 inheterogeneous 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
505 8 $a 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
520 $a 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 andabstraction 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 datatraffic in cities to improve the assistance of first aiders, and applications for supporting the elderly at home.
650 0 $a Health $x Data processing. $3 3508694
650 0 $a Well-being $x Data processing. $3 3508695
650 1 2 $a Medical Informatics Applications. $3 815875
650 2 2 $a Quality of Life. $3 533750
650 2 2 $a Health Promotion. $3 608920
650 2 2 $a Mobile Applications. $3 3508696
650 2 2 $a Artificial Intelligence. $3 769149
650 2 2 $a Data Mining $x methods. $3 2002479
650 7 $a HEALTH & FITNESS $x Healthy Living. $2 bisacsh $3 2126392
650 7 $a HEALTH & FITNESS $x Holism. $2 bisacsh $3 2126393
650 7 $a HEALTH & FITNESS $x Reference. $2 bisacsh $3 2126394
650 7 $a MEDICAL $x Preventive Medicine. $2 bisacsh $3 1615220
655 0 $a Electronic books. $2 lcsh $3 542853
700 1 $a Wister, Miguel, $e editor. $3 3508690
700 1 $a Pancardo, Pablo, $e editor. $3 3508691
700 1 $a Acosta, Francisco, $e editor. $3 3508692
700 1 $a Hernández, José Adán, $e editor. $3 3508693
830 0 $a Intelligent data centric systems. $3 3235783
856 4 0 $u https://www.sciencedirect.com/science/book/9780128121306