Human activity recognition (HAR) has been of interest in recent years due to the growing
demands in many areas. Applications of HAR include healthcare systems to monitor …

Falls are abnormal activity events that occur infrequently; however, they are serious health
problems among elderly individuals. With the advancements of technologies, falls have …

The fast propagation of the Internet of Things (IoT) devices has driven to the development of
collaborative healthcare frameworks to support the next generation healthcare industry for …

The aim of this review is to provide a broad overview of the state-of-the-art works mainly
published in the last ten years on expert systems applied in different medical domains …

In the last few years, the Internet of Things (IoT) has proved to be an interesting and
promising paradigm that aims to contribute to countless applications by connecting more …

Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elderly and a significant decrease in his …

With the world population aging at a fast rate, ambient assisted living systems focused on
elderly people gather more attention. Human activity recognition (HAR) is a component …

Unintentional falls can cause severe injuries and even death, especially if no immediate
assistance is given. A fall detection system aims to detect a fall as soon as it occurs …

The increase in elderly population especially in the developed countries and the number of
elderly people living alone can result in increased healthcare costs which can cause a huge …

Proactively detecting falls and preventing injuries are among the primary keys to a healthy
life for the elderly. Near-fall remote monitoring in daily life could provide key information to …