Intelligent data sensing and processing for health and well-being applications
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...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Wister, Miguel [herausgeberIn] Pancardo, Pablo [herausgeberIn] |
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| Format: |
E-Book |
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| Sprache: |
Englisch |
| Erschienen: |
London: Academic Press ; 2018 ©2018 |
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| Schlagwörter: |
Medical Informatics Applications |
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| Formangabe: |
Electronic books |
| Anmerkung: |
Includes bibliographical references and index |
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| Umfang: |
1 Online-Ressource |
| Reihe: |
Intelligent data centric systems |
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| Links: | |
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| ISBN: |
0-12-812320-6 |
| Katalog-ID: |
1685486436 |
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| 245 | 1 | 0 | |a Intelligent data sensing and processing for health and well-being applications |c edited by Miguel Wister, Pablo Pancardo, Francisco Acosta, José Adán Hernández |
| 264 | 1 | |a London |b Academic Press |c [2018] | |
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| 490 | 0 | |a Intelligent data centric systems | |
| 500 | |a Includes bibliographical references and index | ||
| 520 | |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 | ||
| 520 | |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 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 | ||
| 520 | |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 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 | ||
| 520 | |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 | ||
| 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 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 | ||
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| 650 | 0 | |a Health |x Data processing | |
| 650 | 0 | |a Quality of life | |
| 650 | 0 | |a Health promotion | |
| 650 | 0 | |a Artificial intelligence | |
| 650 | 2 | |a Medical Informatics Applications |0 https://id.nlm.nih.gov/mesh/D008491 | |
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0128123206 electronic bk. 0-12-812320-6 (DE-627)1685486436 (DE-576)517999390 (DE-599)KEP026964422 (OCoLC)046633971 (EBP)026964422 (ELSEVIER)on1046633971 DE-627 eng DE-627 rda eng XA-GB RA776 HEA010000 bisacsh HEA012000 bisacsh HEA020000 bisacsh MED076000 bisacsh HEA 020000 bisacsh MED 076000 bisacsh HEA 012000 bisacsh HEA 010000 bisacsh HEA 010000 bisacsh HEA 012000 bisacsh HEA 020000 bisacsh MED 076000 bisacsh Intelligent data sensing and processing for health and well-being applications edited by Miguel Wister, Pablo Pancardo, Francisco Acosta, José Adán Hernández London Academic Press [2018] ©2018 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Intelligent data centric systems Includes bibliographical references and index 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 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 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 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 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 Well-being Data processing Health Data processing Quality of life Health promotion Artificial intelligence Medical Informatics Applications https://id.nlm.nih.gov/mesh/D008491 Quality of Life https://id.nlm.nih.gov/mesh/D011788 Health Promotion Mobile Applications https://id.nlm.nih.gov/mesh/D063731 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Data Mining methods https://id.nlm.nih.gov/mesh/D057225Q000379 HEALTH & FITNESS ; Healthy Living HEALTH & FITNESS ; Holism HEALTH & FITNESS ; Reference MEDICAL ; Preventive Medicine Promotion de la santé (CaQQLa)201-0138337 Intelligence artificielle (CaQQLa)201-0008626 quality of life (CStmoGRI)aat300055308 artificial intelligence (CStmoGRI)aat300251574 Santé - Informatique (CaQQLa)201-0017470 Bien-être - Informatique (CaQQLa)201-0042168 Médecine - Informatique (CaQQLa)201-0103112 Qualité de la vie (CaQQLa)201-0087516 Artificial intelligence (OCoLC)fst00817247 Health promotion (OCoLC)fst00953194 Quality of life (OCoLC)fst01085009 Electronic books Electronic books Hernández, José Adán oth Wister, Miguel herausgeberin edt Pancardo, Pablo herausgeberin edt 9780128121306 Erscheint auch als Druck-Ausgabe Intelligent data sensing and processing for health and well-being applications London : Academic Press, [2018] 0128121300 9780128121306 https://www.sciencedirect.com/science/book/9780128121306 X:ELSEVIER Verlag lizenzpflichtig Volltext http://www.sciencedirect.com/science/book/9780128121306 Verlag Volltext (DE-627)103013152X GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGE 2018 ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 BO 045F 613 045F 613 105 01 0841 4074466740 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500001999 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 451474915X OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540279726 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. 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| spelling |
0128123206 electronic bk. 0-12-812320-6 (DE-627)1685486436 (DE-576)517999390 (DE-599)KEP026964422 (OCoLC)046633971 (EBP)026964422 (ELSEVIER)on1046633971 DE-627 eng DE-627 rda eng XA-GB RA776 HEA010000 bisacsh HEA012000 bisacsh HEA020000 bisacsh MED076000 bisacsh HEA 020000 bisacsh MED 076000 bisacsh HEA 012000 bisacsh HEA 010000 bisacsh HEA 010000 bisacsh HEA 012000 bisacsh HEA 020000 bisacsh MED 076000 bisacsh Intelligent data sensing and processing for health and well-being applications edited by Miguel Wister, Pablo Pancardo, Francisco Acosta, José Adán Hernández London Academic Press [2018] ©2018 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Intelligent data centric systems Includes bibliographical references and index 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 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 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 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 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 Well-being Data processing Health Data processing Quality of life Health promotion Artificial intelligence Medical Informatics Applications https://id.nlm.nih.gov/mesh/D008491 Quality of Life https://id.nlm.nih.gov/mesh/D011788 Health Promotion Mobile Applications https://id.nlm.nih.gov/mesh/D063731 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Data Mining methods https://id.nlm.nih.gov/mesh/D057225Q000379 HEALTH & FITNESS ; Healthy Living HEALTH & FITNESS ; Holism HEALTH & FITNESS ; Reference MEDICAL ; Preventive Medicine Promotion de la santé (CaQQLa)201-0138337 Intelligence artificielle (CaQQLa)201-0008626 quality of life (CStmoGRI)aat300055308 artificial intelligence (CStmoGRI)aat300251574 Santé - Informatique (CaQQLa)201-0017470 Bien-être - Informatique (CaQQLa)201-0042168 Médecine - Informatique (CaQQLa)201-0103112 Qualité de la vie (CaQQLa)201-0087516 Artificial intelligence (OCoLC)fst00817247 Health promotion (OCoLC)fst00953194 Quality of life (OCoLC)fst01085009 Electronic books Electronic books Hernández, José Adán oth Wister, Miguel herausgeberin edt Pancardo, Pablo herausgeberin edt 9780128121306 Erscheint auch als Druck-Ausgabe Intelligent data sensing and processing for health and well-being applications London : Academic Press, [2018] 0128121300 9780128121306 https://www.sciencedirect.com/science/book/9780128121306 X:ELSEVIER Verlag lizenzpflichtig Volltext http://www.sciencedirect.com/science/book/9780128121306 Verlag Volltext (DE-627)103013152X GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGE 2018 ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 BO 045F 613 045F 613 105 01 0841 4074466740 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500001999 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 451474915X OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540279726 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520355036 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2111 02 DE-944 4046040734 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 http://www.sciencedirect.com/science/book/9780128121306 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780128121306 185 01 3519 http://www.sciencedirect.com/science/book/9780128121306 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128121306 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780128121306 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128121306 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
| allfields_unstemmed |
0128123206 electronic bk. 0-12-812320-6 (DE-627)1685486436 (DE-576)517999390 (DE-599)KEP026964422 (OCoLC)046633971 (EBP)026964422 (ELSEVIER)on1046633971 DE-627 eng DE-627 rda eng XA-GB RA776 HEA010000 bisacsh HEA012000 bisacsh HEA020000 bisacsh MED076000 bisacsh HEA 020000 bisacsh MED 076000 bisacsh HEA 012000 bisacsh HEA 010000 bisacsh HEA 010000 bisacsh HEA 012000 bisacsh HEA 020000 bisacsh MED 076000 bisacsh Intelligent data sensing and processing for health and well-being applications edited by Miguel Wister, Pablo Pancardo, Francisco Acosta, José Adán Hernández London Academic Press [2018] ©2018 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Intelligent data centric systems Includes bibliographical references and index 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 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 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 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 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 Well-being Data processing Health Data processing Quality of life Health promotion Artificial intelligence Medical Informatics Applications https://id.nlm.nih.gov/mesh/D008491 Quality of Life https://id.nlm.nih.gov/mesh/D011788 Health Promotion Mobile Applications https://id.nlm.nih.gov/mesh/D063731 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Data Mining methods https://id.nlm.nih.gov/mesh/D057225Q000379 HEALTH & FITNESS ; Healthy Living HEALTH & FITNESS ; Holism HEALTH & FITNESS ; Reference MEDICAL ; Preventive Medicine Promotion de la santé (CaQQLa)201-0138337 Intelligence artificielle (CaQQLa)201-0008626 quality of life (CStmoGRI)aat300055308 artificial intelligence (CStmoGRI)aat300251574 Santé - Informatique (CaQQLa)201-0017470 Bien-être - Informatique (CaQQLa)201-0042168 Médecine - Informatique (CaQQLa)201-0103112 Qualité de la vie (CaQQLa)201-0087516 Artificial intelligence (OCoLC)fst00817247 Health promotion (OCoLC)fst00953194 Quality of life (OCoLC)fst01085009 Electronic books Electronic books Hernández, José Adán oth Wister, Miguel herausgeberin edt Pancardo, Pablo herausgeberin edt 9780128121306 Erscheint auch als Druck-Ausgabe Intelligent data sensing and processing for health and well-being applications London : Academic Press, [2018] 0128121300 9780128121306 https://www.sciencedirect.com/science/book/9780128121306 X:ELSEVIER Verlag lizenzpflichtig Volltext http://www.sciencedirect.com/science/book/9780128121306 Verlag Volltext (DE-627)103013152X GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGE 2018 ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 BO 045F 613 045F 613 105 01 0841 4074466740 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500001999 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 451474915X OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540279726 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520355036 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2111 02 DE-944 4046040734 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 http://www.sciencedirect.com/science/book/9780128121306 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780128121306 185 01 3519 http://www.sciencedirect.com/science/book/9780128121306 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128121306 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780128121306 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128121306 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
| allfieldsGer |
0128123206 electronic bk. 0-12-812320-6 (DE-627)1685486436 (DE-576)517999390 (DE-599)KEP026964422 (OCoLC)046633971 (EBP)026964422 (ELSEVIER)on1046633971 DE-627 eng DE-627 rda eng XA-GB RA776 HEA010000 bisacsh HEA012000 bisacsh HEA020000 bisacsh MED076000 bisacsh HEA 020000 bisacsh MED 076000 bisacsh HEA 012000 bisacsh HEA 010000 bisacsh HEA 010000 bisacsh HEA 012000 bisacsh HEA 020000 bisacsh MED 076000 bisacsh Intelligent data sensing and processing for health and well-being applications edited by Miguel Wister, Pablo Pancardo, Francisco Acosta, José Adán Hernández London Academic Press [2018] ©2018 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Intelligent data centric systems Includes bibliographical references and index 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 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 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 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 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 Well-being Data processing Health Data processing Quality of life Health promotion Artificial intelligence Medical Informatics Applications https://id.nlm.nih.gov/mesh/D008491 Quality of Life https://id.nlm.nih.gov/mesh/D011788 Health Promotion Mobile Applications https://id.nlm.nih.gov/mesh/D063731 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Data Mining methods https://id.nlm.nih.gov/mesh/D057225Q000379 HEALTH & FITNESS ; Healthy Living HEALTH & FITNESS ; Holism HEALTH & FITNESS ; Reference MEDICAL ; Preventive Medicine Promotion de la santé (CaQQLa)201-0138337 Intelligence artificielle (CaQQLa)201-0008626 quality of life (CStmoGRI)aat300055308 artificial intelligence (CStmoGRI)aat300251574 Santé - Informatique (CaQQLa)201-0017470 Bien-être - Informatique (CaQQLa)201-0042168 Médecine - Informatique (CaQQLa)201-0103112 Qualité de la vie (CaQQLa)201-0087516 Artificial intelligence (OCoLC)fst00817247 Health promotion (OCoLC)fst00953194 Quality of life (OCoLC)fst01085009 Electronic books Electronic books Hernández, José Adán oth Wister, Miguel herausgeberin edt Pancardo, Pablo herausgeberin edt 9780128121306 Erscheint auch als Druck-Ausgabe Intelligent data sensing and processing for health and well-being applications London : Academic Press, [2018] 0128121300 9780128121306 https://www.sciencedirect.com/science/book/9780128121306 X:ELSEVIER Verlag lizenzpflichtig Volltext http://www.sciencedirect.com/science/book/9780128121306 Verlag Volltext (DE-627)103013152X GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGE 2018 ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 BO 045F 613 045F 613 105 01 0841 4074466740 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500001999 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 451474915X OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540279726 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 20-06-24 2020 01 DE-Ch1 4520355036 00 --%%-- --%%-- n n Campuslizenz l01 03-05-24 2111 02 DE-944 4046040734 00 --%%-- E-Book Elsevier --%%-- n Elektronischer Volltext - Campuslizenz l01 27-01-22 105 01 0841 http://www.sciencedirect.com/science/book/9780128121306 132 01 0959 Zugriff nur für Angehörige der Hochschule Osnabrück im Hochschulnetz https://www.sciencedirect.com/science/book/9780128121306 185 01 3519 http://www.sciencedirect.com/science/book/9780128121306 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://www.sciencedirect.com/science/book/9780128121306 2020 01 DE-Ch1 https://www.sciencedirect.com/science/book/9780128121306 2111 02 DE-944 https://www.sciencedirect.com/science/book/9780128121306 132 01 0959 00 EBooks Elsevier Engineering 105 01 0841 OLR-ELV-TEST 132 01 0959 EBS Elsevier 185 01 3519 OLR-EBS 370 01 4370 EBS Elsevier |
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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 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 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 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 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 Well-being Data processing Health Data processing Quality of life Health promotion Artificial intelligence Medical Informatics Applications https://id.nlm.nih.gov/mesh/D008491 Quality of Life https://id.nlm.nih.gov/mesh/D011788 Health Promotion Mobile Applications https://id.nlm.nih.gov/mesh/D063731 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Data Mining methods https://id.nlm.nih.gov/mesh/D057225Q000379 HEALTH & FITNESS ; Healthy Living HEALTH & FITNESS ; Holism HEALTH & FITNESS ; Reference MEDICAL ; Preventive Medicine Promotion de la santé (CaQQLa)201-0138337 Intelligence artificielle (CaQQLa)201-0008626 quality of life (CStmoGRI)aat300055308 artificial intelligence (CStmoGRI)aat300251574 Santé - Informatique (CaQQLa)201-0017470 Bien-être - Informatique (CaQQLa)201-0042168 Médecine - Informatique (CaQQLa)201-0103112 Qualité de la vie (CaQQLa)201-0087516 Artificial intelligence (OCoLC)fst00817247 Health promotion (OCoLC)fst00953194 Quality of life (OCoLC)fst01085009 Electronic books Electronic books Hernández, José Adán oth Wister, Miguel herausgeberin edt Pancardo, Pablo herausgeberin edt 9780128121306 Erscheint auch als Druck-Ausgabe Intelligent data sensing and processing for health and well-being applications London : Academic Press, [2018] 0128121300 9780128121306 https://www.sciencedirect.com/science/book/9780128121306 X:ELSEVIER Verlag lizenzpflichtig Volltext http://www.sciencedirect.com/science/book/9780128121306 Verlag Volltext (DE-627)103013152X GBV-33-Freedom 2022 BSZ-33-EBS-HSAA GBV-33-EBS-MRI GBV-33-EBS-ZHB GBV-33-Freedom 2021 ZDB-33-EBS ZDB-33-EGE 2018 ZDB-33-ESD GBV-33-EBS-HST BSZ-33-EBS-C1UB GBV_ILN_105 ISIL_DE-841 SYSFLAG_1 GBV_KXP SSG-OLC-PHA GBV_ILN_132 ISIL_DE-959 GBV_ILN_185 ISIL_DE-Sra5 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2020 ISIL_DE-Ch1 GBV_ILN_2111 ISIL_DE-944 BO 045F 613 045F 613 105 01 0841 4074466740 OLR-ELV-TEST Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Testzugang ZHB Lübeck z 26-02-22 132 01 0959 4500001999 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Zeitlich begrenzte Lizenzierung k 13-03-24 185 01 3519 451474915X OLR-EBS Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-04-24 370 01 4370 4540279726 EBS Elsevier Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. 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Intelligent data sensing and processing for health and well-being applications |
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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 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 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 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 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 Includes bibliographical references and index |
| abstractGer |
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 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 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 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 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 Includes bibliographical references and index |
| abstract_unstemmed |
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 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 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 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 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 Includes bibliographical references and index |
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| title_short |
Intelligent data sensing and processing for health and well-being applications |
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https://www.sciencedirect.com/science/book/9780128121306 http://www.sciencedirect.com/science/book/9780128121306 |
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