Since falls are a major public health problem among older people, the number of systems
aimed at detecting them has increased dramatically over recent years. This work presents …

Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

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 …

Research on fall and movement detection with wearable devices has witnessed promising
growth. However, there are few publicly available datasets, all recorded with smartphones …

Injuries that are caused by falls have been regarded as one of the major health threats to the
independent living for the elderly. Conventional fall detection systems have various …

Since falls are a major public health problem in an aging society, there is considerable
demand for low-cost fall detection systems. One of the main reasons for non-acceptance of …

This paper introduces WiTrack, a system that tracks the 3D motion of a user from the radio
signals reflected off her body. It works even if the person is occluded from the WiTrack …

Background Falls in elderly people are a major health burden, especially in the long-term
care environment. Yet little objective evidence is available for how and why falls occur in this …

A method for detecting falls in the homes of older adults using the Microsoft Kinect and a two-
stage fall detection system is presented. The first stage of the detection system characterizes …

Fall detection is a major challenge in the public health care domain, especially for the
elderly, and reliable surveillance is a necessity to mitigate the effects of falls. The technology …