Home Digital Twins explores how digital twin technologies can serve as a bridge between the real home and the virtual home. It explains how IoT devices, wearable sensors, artificial intelligence (AI), and machine learning (ML) can aid in the diagnosis, prediction, and prevention of abnormal/critical/extreme problems in real home environments, while also showing how digital twin computing can support the management of home energy consumption to optimize everyday living. The book also considers the security and ethical implications of introducing digital twin technology in the home to ensure the technology benefit the lives of the home's inhabitants.
The introduction of sensor networks into the home environment allows automation into the home, utilizing internet of things (IoT) devices to program, for example, door opening, room luminosity, room temperature, and humidity. Digital Twin technology extends the capabilities of the smart home, collecting and analyzing data from the Activities of Daily Living (ADLs) and applying Human Activity Recognition (HAR) algorithms to provide adaptive services, including minimizing power consumption, improving healthcare, and enhancing overall well-being. However, there are many challenges when applying these algorithms to the smart home due to the variability and sparsity of sensor data, which can lead to a mismatch between the real home and the digital home.
1. Chapter 1. Introduction to digital twin - p. 1 2. Chapter 2. Smart home: historical framework, technological integration, and current trends in energy efficiency, human comfort, and security - p. 13 3. Chapter 3. Architecture and protocols for home digital twins - p. 23 4. Chapter 4. Sensor-based home appliances - p. 39 5. Chapter 5. Sensors for smart home devices - p. 67 6. Chapter 6. Smart sensor networks in the activities of daily living - p. 83 7. Chapter 7. Wearable/wireless body sensor networks for activity recognition - p. 91 8. Chapter 8. Secure and efficient scheme for wireless sensor network in smart homes - p. 107 9. Chapter 9. Artificial intelligence, internet of things, and machine learning for home sensor networks - p. 125 10. Chapter 10. Digital twin based on edge computing/fog computing/cloud computing toward smart home - p. 133 11. Chapter 11. Cloud/fog/edge computing for home digital twin - p. 145 12. Chapter 12. Applications and benefits of cloud-to-edge computing in enhancing smart home functionalities - p. 155 13. Chapter 13. Edge artificial intelligence and the transformation of home digital twins for smart living - p. 167 14. Chapter 14. Blockchain-based smart home network security - p. 187 15. Chapter 15. Integration of artificial intelligence with Internet of Things in smart homes - p. 205 16. Chapter 16. Application of blockchain technology for smart home - p. 217 17. Chapter 17. Artificial intelligence for home digital twins - p. 227 18. Chapter 18. Blockchain, Internet of Things, and artificial intelligence for smart home - p. 243 19. Chapter 19. Swarm intelligence for smart homes - p. 257 20. Chapter 20. Future perspectives on digital twin technology in the built environment - p. 271 21. Chapter 21. Home energy management solutions based on artificial intelligence and Internet of Things - p. 279 22. Chapter 22. Digital twins in energy-related home devices - p. 295 23. Chapter 23. Security risks, privacy challenges, and mitigation strategies for home digital twins - p. 313 24. Chapter 24. Ethical and legal implications of home digital twins - p. 325 25. Chapter 25. From smart homes to wise homes - p. 333 26. Chapter 26. Algorithm and simulation for home digital twin - p. 347 27. Chapter 27. From smart cities to smart homes: the role of vehicular networks in digital twin ecosystems - p. 361 28. Index - p. 379
Home Digital Twins explores how digital twin technologies can serve as a bridge between the real home and the virtual home. It explains how IoT devices, wearable sensors, artificial intelligence (AI), and machine learning (ML) can aid in the diagnosis, prediction, and prevention of abnormal/critical/extreme problems in real home environments, while also showing how digital twin computing can support the management of home energy consumption to optimize everyday living. The book also considers the security and ethical implications of introducing digital twin technology in the home to ensure the technology benefit the lives of the home's inhabitants.
The introduction of sensor networks into the home environment allows automation into the home, utilizing internet of things (IoT) devices to program, for example, door opening, room luminosity, room temperature, and humidity. Digital Twin technology extends the capabilities of the smart home, collecting and analyzing data from the Activities of Daily Living (ADLs) and applying Human Activity Recognition (HAR) algorithms to provide adaptive services, including minimizing power consumption, improving healthcare, and enhancing overall well-being. However, there are many challenges when applying these algorithms to the smart home due to the variability and sparsity of sensor data, which can lead to a mismatch between the real home and the digital home.
1. Chapter 1. Introduction to digital twin - p. 1 2. Chapter 2. Smart home: historical framework, technological integration, and current trends in energy efficiency, human comfort, and security - p. 13 3. Chapter 3. Architecture and protocols for home digital twins - p. 23 4. Chapter 4. Sensor-based home appliances - p. 39 5. Chapter 5. Sensors for smart home devices - p. 67 6. Chapter 6. Smart sensor networks in the activities of daily living - p. 83 7. Chapter 7. Wearable/wireless body sensor networks for activity recognition - p. 91 8. Chapter 8. Secure and efficient scheme for wireless sensor network in smart homes - p. 107 9. Chapter 9. Artificial intelligence, internet of things, and machine learning for home sensor networks - p. 125 10. Chapter 10. Digital twin based on edge computing/fog computing/cloud computing toward smart home - p. 133 11. Chapter 11. Cloud/fog/edge computing for home digital twin - p. 145 12. Chapter 12. Applications and benefits of cloud-to-edge computing in enhancing smart home functionalities - p. 155 13. Chapter 13. Edge artificial intelligence and the transformation of home digital twins for smart living - p. 167 14. Chapter 14. Blockchain-based smart home network security - p. 187 15. Chapter 15. Integration of artificial intelligence with Internet of Things in smart homes - p. 205 16. Chapter 16. Application of blockchain technology for smart home - p. 217 17. Chapter 17. Artificial intelligence for home digital twins - p. 227 18. Chapter 18. Blockchain, Internet of Things, and artificial intelligence for smart home - p. 243 19. Chapter 19. Swarm intelligence for smart homes - p. 257 20. Chapter 20. Future perspectives on digital twin technology in the built environment - p. 271 21. Chapter 21. Home energy management solutions based on artificial intelligence and Internet of Things - p. 279 22. Chapter 22. Digital twins in energy-related home devices - p. 295 23. Chapter 23. Security risks, privacy challenges, and mitigation strategies for home digital twins - p. 313 24. Chapter 24. Ethical and legal implications of home digital twins - p. 325 25. Chapter 25. From smart homes to wise homes - p. 333 26. Chapter 26. Algorithm and simulation for home digital twin - p. 347 27. Chapter 27. From smart cities to smart homes: the role of vehicular networks in digital twin ecosystems - p. 361 28. Index - p. 379
