Falling is among the most damaging event elderly people may experience. With the ever-
growing aging population, there is an urgent need for the development of fall detection …

Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …

This paper presents the design and implementation of RT-Fall, a real-time, contactless, low-
cost yet accurate indoor fall detection system using the commodity WiFi devices. RT-Fall …

With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …

The emergence of pose estimation algorithms represents a potential paradigm shift in the
study and assessment of human movement. Human pose estimation algorithms leverage …

The concept of intelligent visual identification of abnormal human activity has raised the
standards of surveillance systems, situation cognizance, homeland safety and smart …

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 …

This paper makes four scientific contributions to the field of fall detection in the elderly to
contribute to their assisted living in the future of Internet of Things (IoT)-based pervasive …

This paper reviews recent works in the literature on the use of systems based on radar and
RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research …