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 …

Current emergency systems for elderly contain at least one sensor (button or
accelerometer), which has to be worn or pressed in case of emergency. If elderly fall and …

Falling represents one of the major problems faced by elderly people. In the present
research, a machine vision-based system was designed. Depth map images were captured …

Falls are one of the greatest risks for older adults living alone at home. This paper presents a
novel visual-based fall detection approach to support independent living for older adults …

Faced with the growing population of seniors, developed countries need to develop new
healthcare systems to help elderly people staying at home in a secure environment. Falls …

Falls are the leading cause of injury and death among older adults in the US. Computer
vision systems offer a promising way of detecting falls. The present paper examines a fall …

Falls are the leading cause of injury and death in elderly individuals. Unfortunately, fall
detectors are typically based on wearable devices, and the elderly often forget to wear them …

Falls are one of the major leading causes of mortality for elderly people living alone at home,
which can lead to severe injuries. Fall detection is the most important health care issue for …

We propose an automatic, privacy-preserving, fall detection method for indoor environments,
based on the usage of the Microsoft Kinect® depth sensor, in an “on-ceiling” configuration …

Falls are a major cause of fatal injury for the elderly population. To improve the quality of
living for seniors, a wide range of monitoring systems with fall detection functionality have …