In recent years, a huge number of individuals all over the world, elderly people, in particular,
have been suffering from Alzheimer's disease (AD), which has had a significant negative …

With the increasing demand for human-computer interaction and health monitoring, human
behavior recognition with device-free patterns has attracted extensive attention. The …

Wireless sensing has become a hot research topic recently, enabling a large range of
applications. However, due to the intrinsic nature of employing weak target-reflection signal …

Abstract Development of innovative designs, new applications, new technologies and
heavier investment in AI are continued to be seen every day. However, with the sudden …

To compete with e-commerce, retailers are increasingly integrating smart technologies into
their offline retail environment. This enables retailers to analyze their customers and provide …

Human actions that do not conform to usual behavior are considered as anomalous and
such actors are called anomalous entities. Detection of anomalous actions using visual data …

Human activities that deviate from the norm are deemed abnormal, and such individuals are
referred to as anomalous objects. Employing visual data to detect abnormal behaviour is a …

Background: Smartphone use is widely spreading in society. Their embedded functions and
sensors may play an important role in therapy monitoring and planning. However, the use of …

Risky drivers account for 70% of fatal accidents in the United States. With recent advances in
sensors and intelligent vehicular systems, there has been significant research on assessing …

Psychology and neuroscience research have both shown an interest in the ability to
recognise people's levels of stress. Human behaviour, however, is complicated and subject …