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E-grāmata: Smart Homes: Design, Implementation and Issues

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The book addresses issues towards the design and development of Wireless Sensor Network based Smart Home and fusion of Real-Time Data for Wellness Determination of an elderly person living alone in a Smart Home. The fundamentals of selection of sensor, fusion of sensor data, system design, modelling, characterizations, experimental investigations and analyses have been covered. This book will be extremely useful for the engineers and researchers especially higher undergraduate, postgraduate students as well as practitioners working on the development of Wireless Sensor Networks, Internet of Things and Data Mining.

Recenzijas

This book presents research design, implementation case studies, and next challenges for AAL with regard to smart homes. this book is very resourceful for readers interested in smart home-based elderly care research as well as system design. (Debraj De, Computing Reviews, March, 2016)

1 Introduction
1(10)
1.1 Background
3(1)
1.2 Major Objective of the Research
4(1)
1.3 Determining Wellness of an Elderly Person
4(1)
1.4 Scope of the Research
5(1)
1.5 Research Direction
6(1)
1.6 Novel Contribution of the Research
6(1)
1.7 Research Significance
7(1)
1.8 Outline of the Book
7(4)
References
8(3)
2 Smart Home Related Research
11(42)
2.1 Introduction
11(1)
2.2 Elderly People and Independent Living
12(3)
2.3 Smart Home Systems
15(1)
2.4 Components of the Smart Home Systems
16(3)
2.4.1 Physical Components
17(1)
2.4.2 Communication Mechanism
18(1)
2.4.3 Information Processing
19(1)
2.5 Comparisons of Smart Home Systems
19(9)
2.6 Review of Methodologies on ADL Recognition in SHMS
28(10)
2.7 Smart Homes Technologies Users
38(1)
2.8 Advantages of a Smart Home Technology
38(1)
2.9 Current Limitations of Smart Home Technologies
38(2)
2.10 Impact of Smart Homes Technologies on Societies
40(1)
2.11 Smart Systems and Internet of Things (IoT)
41(1)
2.12 Applications of IoT
41(2)
2.13
Chapter Summary
43(10)
References
44(9)
3 Design and Deployment of WSN in a Home Environment and Real-Time Data Fusion
53(58)
3.1 Introduction
53(1)
3.2 Description of the Wireless Sensing Systems
54(2)
3.3 Wireless Sensing Systems for Household Objects Monitoring and Control
56(15)
3.3.1 Type #1 Electrical Household Objects Monitoring and Control Sensing System
56(9)
3.3.2 Type #2 Non-electrical Objects Sensing System
65(1)
3.3.3 Type #3 Contact Sensing System for Domestic Objects
66(1)
3.3.4 Type #4 PIR Sensing System for Movements Monitoring
66(1)
3.3.5 Type #5 Environmental Parameters Monitoring Sensing System
67(2)
3.3.6 Type #6 Physiological Parameters Monitoring System
69(1)
3.3.7 Human Emotion Recognition System
70(1)
3.4 Networking Wireless Sensing Systems
71(1)
3.4.1 Advantages of XBee Modules
71(1)
3.5 Topologies of Wireless Sensing System
72(1)
3.6 Placement of Different Sensing Systems in a Home
73(2)
3.7 Required Number of Sensing Systems at an Elderly Person Home
75(2)
3.8 Computer Based Data Acquisition Systems
77(1)
3.9 Real-Time Heterogeneous Sensor Data Fusion
78(2)
3.10 Software System for Sensor Data Acquisition
80(1)
3.11 WSN Data Storage Mechanism
81(1)
3.12 Query Processing Mechanism for the WSN Data Stream
82(3)
3.13 IoT Framework
85(1)
3.14 Results
86(17)
3.14.1 Sampling Rates for Wireless Sensing Systems
88(2)
3.14.2 Quality of Service factors of the Wireless Sensing Systems
90(2)
3.14.3 Reliability
92(1)
3.14.4 Throughput Measurements
93(3)
3.14.5 Database Statistics
96(7)
3.15 Troubleshooting with XBee Modules
103(1)
3.16 Limitations of the Developed Wireless Sensing Systems
104(1)
3.17 Sensor Data Analytics for Wellness Determination of an Elderly Person
104(3)
3.18
Chapter Summary
107(4)
References
107(4)
4 ADLs Recognition of an Elderly Person and Wellness Determination
111(28)
4.1 Introduction
111(1)
4.2 Design of ADLs Recognition System
112(2)
4.3 ADLs Annotation
114(6)
4.3.1 ADL Sub-Activities (Chores) Identification
115(4)
4.3.2 Delta Smoothing for Sub-Activities Identification
119(1)
4.4 Wellness Determination of an Elderly Person Based on the Usages of Household Appliances
120(6)
4.4.1 Wellness Function #1
121(1)
4.4.2 Wellness Function #2
122(1)
4.4.3 Need for Dynamic Wellness Functions
122(1)
4.4.4 Improved Wellness Function #1
123(1)
4.4.5 Improved Wellness Function #2
124(1)
4.4.6 Maximum Inactive and Excess Active Usage Durations (T, Tn)
125(1)
4.5 Results and Analysis
126(8)
4.6
Chapter Summary
134(5)
References
135(4)
5 Forecasting the Behaviour of an Elderly Person Using WSN Data
5.1 Introduction
139(1)
5.2 Time Series Modeling and Forecasting
140(2)
5.3 Seasonal Decomposition
142(1)
5.4 Deriving Trend Using Modified Double Exponential Smoothing Process
143(1)
5.5 Behaviour Detection
143(1)
5.6 Results and Analysis
144(10)
5.7
Chapter Summary
154(5)
References
155(4)
6 Sensor Activity Pattern (SAP) Matching Process and Outlier Detection
6.1 Introduction
159(3)
6.2 Sensor Activity Pattern (SAP) Algorithm
162(2)
6.2.1 Notations and Definitions of the SAP Algorithm
162(2)
6.3 Results and Analysis
164(5)
6.4 Sensor Activity for ADL Pattern Discovery
169(2)
6.5 Outlier Detection
171(1)
6.6
Chapter Summary
172(5)
References
172(5)
7 Conclusions
177