Vision-based fall detection systems have experienced fast development over the last years.
To determine the course of its evolution and help new researchers, the main audience of this …

There is a significant increase in the geriatric population across the globe. With the increase
in the number of geriatric people and their associated health issues, the need for larger …

Fall detection is of increasing significance in terms of the health monitoring of the elderly and
disabled people, as falls may lead to physical injuries or even mental trauma. The existing …

Recently, the techniques of Internet of Things (IoT) and mobile communications have been
developed to gather human and environment information data for a variety of intelligent …

The plethora of sensors deployed in Internet of Things (IoT) environments generate
unprecedented volumes of data, thereby creating a data deluge. Data collected from these …

Nowadays, video surveillance systems are commonly found in most public and private
spaces. These systems typically consist of a network of cameras that feed into a central …

The severity of falls increases with age and reduced mobility. Falls are a frequent source of
domestic accidents and accidental death on the part of fragile people. They produce …

The ratio of the elderly to the total population around the world is larger than 10%, and about
30% of the elderly are injured by falls each year. Accidental falls, especially bathroom falls …

Nowadays, the efficiency of Machine Learning (ML) mechanisms in the Internet of Things
(IoT) prompts the researchers and developers to use these emerging technology in different …

Human-action recognition attempts to determine which deed occurs by people. Owing to the
wide spectrum of human activities, action recognition spans a wide range. Among all, falls …