Home Digital Twins

The introduction of sensor networks into the home environment allows automation into the home, utilising internet of things (IoT) devices to programme, for example, door opening, room luminosity, room temperature, and humidity. Digital Twin technology extends the capabilities of the smart home, collecting and analysing 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. 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, and shows how digital twin computing can support the management of home energy consumption to optimise 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.