Smart homes provide many research challenges, but some of the most interesting ones are
in dealing with data that monitors human behaviour and that is inherently both spatial and …

The health system in developed countries is facing a problem of scalability in order to
accommodate the increased proportion of the elderly population. Scarce resources cannot …

Abstract The 'Smart Home'is a strongly technology-driven field. While user-centered
requirements have been reported for specific features, a considerable gap persists for …

With recent advancements in communications and sensor technologies, the Internet of
Things (IoT) has been experiencing rapid growth. It is estimated that billions of objects will …

While people have many ideas about how a smart home should react to particular
behaviours from their inhabitant, there seems to have been relatively little attempt to …

Purpose As the elder population grows, the need for domestic healthcare is on the rise. Both
robotics and smart environments, including smart homes, provide a promising solution to …

Abstract The Internet of Things (IoT) and connected products have become part of the
advance of ubiquitous technology into personal and professional living spaces, such as the …

This chapter proposes a learning and prediction based paradigm for designing smart home
environments. The foundation of this paradigm lies in information theory as it manages …

Traditional Artificial Intelligence (AI) technologies used in developing smart cities solutions,
Machine Learning (ML) and recently Deep Learning (DL), rely more on utilising best …

Residential ubiquitous computing environments have focused on interconnecting
environmental controls using a home network and the management of sensor data rather …