Home Digital Twins

Tuan Anh Nguyen

• Publisher: Elsevier
• Year: 2026
• Topic: Computer Science
• eBook ISBN:
  9780443440854
• Subtopic: Computer Science General
• Index: Computer Science

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. - Explains how digital twins gather real home data to create a virtual model of the home - Considers the associated technologies that support home digital twins, including Internet of things, artificial intelligence, machine learning, and blockchain - Explores how digital twins can be used in the home to monitor and improve our daily lives

Table of contents

• Title of Book
• Chapter 1 Introduction to digital twin
• Chapter 2 Smart home: historical framework, technological integration, and current trends in energy efficiency, human comfort, and security
• Chapter 3 Architecture and protocols for home digital twins
• Chapter 4 Sensor-based home appliances
• Chapter 5 Sensors for smart home devices
• Chapter 6 Smart sensor networks in the activities of daily living
• Chapter 7 Wearable/wireless body sensor networks for activity recognition
• Chapter 8 Secure and efficient scheme for wireless sensor network in smart homes
• Chapter 9 Artificial intelligence, internet of things, and machine learning for home sensor networks
• Chapter 10 Digital twin based on edge computing/fog computing/cloud computing toward smart home
• Chapter 11 Cloud/fog/edge computing for home digital twin
• Chapter 12 Applications and benefits of cloud-to-edge computing in enhancing smart home functionalities
• Chapter 13 Edge artificial intelligence and the transformation of home digital twins for smart living
• Chapter 14 Blockchain-based smart home network security
• Chapter 15 Integration of artificial intelligence with Internet of Things in smart homes
• Chapter 16 Application of blockchain technology for smart home
• Chapter 17 Artificial intelligence for home digital twins
• Chapter 18 Blockchain, Internet of Things, and artificial intelligence for smart home
• Chapter 19 Swarm intelligence for smart homes
• Chapter 20 Future perspectives on digital twin technology in the built environment
• Chapter 21 Home energy management solutions based on artificial intelligence and Internet of Things
• Chapter 22 Digital twins in energy-related home devices
• Chapter 23 Security risks, privacy challenges, and mitigation strategies for home digital twins
• Chapter 24 Ethical and legal implications of home digital twins
• Chapter 25 From smart homes to wise homes
• Chapter 26 Algorithm and simulation for home digital twin
• Chapter 27 From smart cities to smart homes: the role of vehicular networks in digital twin ecosystems
• Index