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Front Cover |
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Ambient Assisted Living and Enhanced Living Environments |
4 |
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Copyright |
5 |
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Dedications |
6 |
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Contents |
8 |
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Contributors |
14 |
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Biographies |
20 |
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Preface |
38 |
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Introduction |
38 |
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The Overall Objective of the Book |
39 |
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Organization of the book |
40 |
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Acknowledgments |
42 |
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Glossary |
44 |
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Acronyms |
46 |
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1 Introduction to the AAL and ELE Systems |
54 |
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1.1 Introduction |
54 |
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1.2 AAL/ELE Systems and Applications |
57 |
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1.3 A Vision for Ambient Assisted Living |
60 |
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1.4 Challenges and Research Opportunities |
64 |
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1.5 Conclusions |
67 |
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References |
68 |
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2 Implanted Wireless Body Area Networks: Energy Management, Specific Absorption Rate and Safety Aspects |
70 |
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2.1 Introduction to WBAN |
70 |
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2.1.1 Overview |
70 |
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2.1.2 Background |
71 |
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2.2 Applications of WBAN |
71 |
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2.3 Use of Ultra Wideband (UWB) in WBAN Applications |
72 |
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2.3.1 Technology |
73 |
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2.3.2 Effects of IR-UWB on Human Body |
74 |
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2.4 Design of Implanted Sensor Nodes |
74 |
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2.4.1 Components of Sensor Node |
74 |
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2.4.2 Design Challenges |
76 |
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2.5 Implant Power Constraints and Battery Considerations |
76 |
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2.5.1 Energy Harvesting |
77 |
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2.6 Energy Management |
78 |
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2.6.1 Issues |
78 |
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2.6.2 Solutions |
79 |
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2.7 Specific Absorption Rate (SAR) and Safety Aspects |
80 |
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2.8 Energy Efficient Routing in WBAN |
81 |
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2.8.1 How BAN Routing Is Different from Conventional Routing Algorithm |
82 |
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2.8.2 Challenges in Designing Energy Efficient Routing Algorithm for WBAN |
82 |
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2.9 Adaptive Thermal-Aware Energy Efficient Routing |
83 |
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2.9.1 WBAN Routing Constraints |
84 |
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2.9.2 Issues with Adaptive Thermal Aware Routing Protocols |
84 |
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2.10 Conclusion |
85 |
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References |
86 |
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3 Energy Efficient Communication in Ambient Assisted Living |
90 |
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3.1 Introduction/Motivation |
90 |
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3.2 Background and Related Work |
93 |
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3.2.1 Energy Efficient Architectures |
93 |
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3.2.2 Energy Efficient Protocols |
97 |
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3.3 Problem Description |
99 |
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3.4 Experimental Results |
103 |
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3.4.1 Simulation Setup |
103 |
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3.4.2 Simulation Results and Discussion |
104 |
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3.5 Summary |
110 |
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Acknowledgement |
111 |
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References |
111 |
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4 The Human Factor in the Design of Successful Ambient Assisted Living Technologies |
114 |
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4.1 Introduction |
114 |
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4.2 The Human Centric Approach |
115 |
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4.2.1 The User Driven Design |
116 |
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4.3 Information and Communication Technologies in AAL |
125 |
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4.4 Technology and Users in AAL: Practical Experiences |
132 |
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4.5 Lessons Learned |
137 |
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4.6 Conclusion |
138 |
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Acknowledgement |
138 |
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References |
138 |
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5 Matching Requirements for Ambient Assisted Living and Enhanced Living Environments with Networking Technologies |
144 |
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5.1 Introduction |
144 |
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5.2 Classification of AAL/ELE Domains and Applications |
145 |
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5.2.1 Involved Domains and Key Attributes |
149 |
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5.2.2 Closed Loop Healthcare as Typical AAL/ELE Application |
152 |
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5.3 Communication Services to Support AAL/ELE Infrastructure |
154 |
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5.4 Requirements of AAL/ELE Applications |
156 |
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Requirement 1 (SLA): AAL/ELE Need Dedicated Service Level Agreements (SLA) Between Actors and Network Service Provider |
157 |
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Requirement 2 (Costs): Low Upfront Infrastructure Investments for the User's Premises Equipment |
158 |
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Requirement 3 (Usability): Intuitive User Interfaces, Enhanced Usability Due to Self-* Capabilities and Easy Operation/Configuration of the Service |
159 |
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Requirement 4 (Security): Privacy and Data Security to Implement Different Security Levels for AAL/ELE Services |
159 |
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Requirement 5 (Sensor Interoperability): Sensors - Interoperability for Data Collection |
159 |
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Requirement 6 (Data Characteristics): Sensors - Data Transmission Characteristics |
160 |
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Requirement 7 (Application Interoperability): Interoperability at Application Level Between Sensor Devices and Back End Systems |
160 |
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5.5 Networking Technologies and Their Impact on the AAL/ELE Requirements |
161 |
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Drawbacks of Current Networking Infrastructures |
161 |
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Dynamic Software Frameworks (DSFs) to Support AAL/ELE |
163 |
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Network Virtualization |
165 |
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Software-Defined Networking |
166 |
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Application-Aware Networking |
168 |
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Cloudification/Network Function Virtualization (NFV) |
169 |
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5.6 Key Derivations |
170 |
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5.7 Conclusion |
171 |
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Acknowledgements |
171 |
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References |
171 |
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6 Recent Advances in Remote Assisted Medical Operations |
176 |
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6.1 Introduction |
176 |
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6.2 The Development and Historical Background of Current Systems |
177 |
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6.3 Telepresence and Telesurgery |
179 |
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6.4 Telesurgery in Extreme Environments |
183 |
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6.4.1 Remote Surgery in Space and Beyond |
184 |
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6.4.2 Bringing the Operating Table to the Battlefield |
187 |
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6.5 The Ethical and Legal Considerations of Telepresence |
190 |
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6.6 Is Robotic Surgery Viable? - Advantages, Disadvantages and Future Directions |
192 |
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6.7 Robotic Surgery as a Training Tool |
194 |
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6.8 Conclusion |
196 |
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Acknowledgements |
196 |
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References |
197 |
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7 Cloud Based Smart Living System Prototype |
200 |
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7.1 Introduction |
200 |
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7.2 State of the Art |
203 |
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7.2.1 Assistive Technology Architectures |
203 |
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7.2.2 Assistive E-medical Services |
204 |
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7.2.3 Wireless Sensor Networks Related Systems |
205 |
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7.2.4 Smart Home and Health Monitoring Systems |
207 |
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7.3 General Architecture of a System for Assisted Living |
208 |
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7.3.1 Data Retrieval in AAL Systems |
208 |
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7.3.2 Data Processing in AAL Systems |
209 |
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7.3.3 Logical Architecture of a System for Assisted Living |
211 |
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7.3.4 Physical Architecture of AAL System |
212 |
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7.3.5 Security Issues |
213 |
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7.3.6 Validity of Information |
214 |
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7.3.7 Cloud Implementation |
214 |
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7.3.8 Information Integration Aspects |
216 |
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7.4 Use-Case Scenarios |
217 |
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7.5 Conclusions |
219 |
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Acknowledgements |
220 |
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References |
220 |
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8 AAL and ELE Platform Architecture |
224 |
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8.1 Introduction |
224 |
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8.2 State of the Art |
226 |
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8.3 AAL/ELE Services |
228 |
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8.4 Requirements Analysis |
230 |
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8.5 Hierarchical Model Design |
236 |
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8.6 Sensor Networks. Dew, Fog and Cloud Computing |
239 |
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8.7 Traffic Patterns, QoS and QoE Requirements |
242 |
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8.8 Applied Technologies |
245 |
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8.9 Implementations, Use-Case Scenarios |
249 |
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8.10 Conclusion and Future Work |
253 |
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Acknowledgements |
254 |
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References |
254 |
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9 Developing Embedded Platforms for Ambient Assisted Living |
264 |
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9.1 Introduction |
264 |
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9.2 Ongoing Research |
266 |
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9.3 Ambient Assisted Living Challenges and Applications |
268 |
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9.4 Proposal Approach |
270 |
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9.4.1 Sensors and Data Acquisition Systems |
271 |
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9.4.2 Platforms |
272 |
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9.4.3 Connectivity |
273 |
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9.4.4 System Architecture |
274 |
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9.5 Implementation and Evaluation |
276 |
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9.5.1 Home Automation |
277 |
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9.5.2 Health System |
283 |
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9.5.3 Fixed and Mobile Nodes |
284 |
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9.6 Design Considerations |
287 |
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9.7 Conclusion |
296 |
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References |
296 |
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10 Wearable Electronics for Elderly Health Monitoring and Active Living |
300 |
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10.1 Introduction |
300 |
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10.1.1 Scientific Perspective |
302 |
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10.1.2 Future Market perspective |
303 |
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10.2 Background |
304 |
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10.3 Health Monitoring by Using Wearable Devices |
306 |
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10.3.1 Definitions |
306 |
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10.3.2 Physiological Parameters Monitoring |
307 |
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10.3.3 Solution Analysis for Elderly Healthcare Monitoring |
309 |
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10.3.4 Wearable Electronic Devices Integrated in Garment |
310 |
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10.4 Software System Architecture |
313 |
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10.5 Conclusions |
318 |
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10.6 Future Work |
321 |
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Acknowledgements |
321 |
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References |
321 |
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11 Cloud-Oriented Domain for AAL |
324 |
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11.1 IoT and Cloud Computing in AAL |
324 |
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11.2 What IoT Cloud Systems Have to Offer |
326 |
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11.2.1 Features of IoT |
326 |
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11.2.2 Features of Cloud Computing |
326 |
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11.2.3 Remote Monitoring (Telemonitoring) |
328 |
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11.3 Wearable Technology in AAL |
332 |
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11.3.1 Wireless Body Area Network |
332 |
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11.3.2 IoT Cloud Systems in WBANs |
333 |
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11.3.3 Influence of Wearable Technology |
334 |
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11.4 Challenges and Issues of IoT Cloud Systems in AAL |
334 |
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11.4.1 Security and Privacy |
335 |
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11.4.2 Large Datasets and Device Interoperability |
336 |
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References |
336 |
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12 Adaptive Workspace Interface for Facilitating the Knowledge Transfer from Retired Elders to Start-up Companies |
340 |
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12.1 Introduction |
340 |
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12.2 Related Work |
343 |
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12.3 Adaptive Workspace Architecture |
345 |
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12.4 Workspace Adaptation Features |
346 |
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12.5 Sensor Data Collection and Limitations Profile |
348 |
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12.6 Adaptation Decision Making |
352 |
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12.7 Usage Scenario and Results |
354 |
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12.8 Conclusions |
358 |
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Acknowledgements |
360 |
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References |
360 |
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13 Telemonitoring as a Core Component to Enforce Remote Biofeedback Control Systems |
364 |
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13.1 Introduction |
364 |
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13.2 Background |
367 |
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13.2.1 Dynamic Systems Control |
367 |
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13.2.2 Conceptual Maps |
370 |
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13.3 Telemonitoring State-of-the-Art |
370 |
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13.3.1 Telemonitoring Applications |
371 |
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13.3.2 Limitations and Opportunities |
382 |
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13.4 Remote Biofeedback Control Systems: Ontological Design |
387 |
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13.4.1 Concepts and Relationships |
387 |
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13.4.2 Conceptual Mapping |
388 |
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13.5 Discussion |
390 |
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13.5.1 Technological Constraints |
390 |
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13.5.2 Ethical & Social Aspects |
390 |
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13.6 Conclusions and Future Work |
391 |
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Acknowledgements |
392 |
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References |
392 |
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14 The Role of Smart Homes in Intelligent Homecare and Healthcare Environments |
398 |
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14.1 Introduction |
398 |
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14.2 The Smart Home Concept |
399 |
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14.3 Telehealth Scenario in Smart Home |
401 |
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14.3.1 Telecare |
402 |
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14.3.2 Telemedicine |
404 |
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14.3.3 Monitoring in Telehealth Scenarios |
405 |
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14.4 Telehealth in Smart Home: Main Components |
405 |
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14.5 Middleware Tools |
408 |
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14.6 Home Automation Technologies and Sensors |
409 |
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14.6.1 System Elements |
410 |
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14.6.2 Transmission Media |
412 |
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14.6.3 Network Topology |
414 |
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14.6.4 Open, Proprietary or Heterogeneous System |
415 |
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14.6.5 Popular Home Automation Technologies |
415 |
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14.6.6 Sensors |
415 |
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14.7 Acquisition Context |
419 |
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14.8 Knowledge Base |
420 |
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14.8.1 Context Definition |
421 |
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14.8.2 Context Modeling and Reasoning |
423 |
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14.9 Reasoning |
428 |
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14.10 Learning |
429 |
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14.11 Big Data, Cloud Computing and the Internet of Things |
431 |
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14.12 Challenges |
434 |
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14.13 Conclusion |
440 |
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Acknowledgements |
441 |
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References |
441 |
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15 Visual Information-Based Activity Recognition and Fall Detection for Assisted Living and eHealthCare |
448 |
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15.1 Introduction |
448 |
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15.2 Existing Methods on Visual Activity Recognition for Assisted Living |
450 |
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15.3 Visual Activity Recognition Using Manifold-Based Approaches |
452 |
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15.3.1 Riemannian Geometry |
452 |
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15.3.2 Activity Recognition Methods by Exploiting Riemannian Manifolds |
455 |
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15.4 Experimental Results |
463 |
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15.4.1 Publicly Available Datasets for Visual Activity Recognition |
463 |
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15.4.2 Results and Comparisons |
468 |
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15.5 Discussion |
472 |
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15.6 Conclusion |
473 |
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References |
473 |
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16 End-Users Testing of Enhanced Living Environment Platform and Services |
480 |
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16.1 Introduction |
480 |
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16.2 State of the Art and Living Labs Experience |
481 |
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16.3 AALaaS and ELEaaS Platform |
482 |
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16.4 Stakeholders as Testers |
484 |
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16.5 Platform and Application Testing |
486 |
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16.6 Conclusion and Future Work |
489 |
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Acknowledgement |
490 |
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References |
490 |
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17 M2M Communications and Their Role in AAL |
494 |
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17.1 Introduction |
494 |
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17.2 M2M Communications and Architectures |
495 |
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17.2.1 M2M Architectures |
497 |
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17.2.2 Characteristics of M2M Applications |
508 |
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17.3 M2M as an Enabling Technology for AAL - State of the Art |
510 |
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17.3.1 The Role of M2M as an Enabling Technology for eHealthcare Applications |
510 |
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17.3.2 The Concept of Ambient Assisted Living |
514 |
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17.3.3 M2M Based Applications for AAL - State of the Art |
516 |
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17.4 Conclusion |
534 |
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References |
537 |
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Index |
542 |
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Back Cover |
554 |
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