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 …

Modeling human behaviors and activity patterns for recognition or detection of special event
has attracted significant research interest in recent years. Diverse methods that are abound …

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 …

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 an important public healthcare problem. Timely detection could enable
instant delivery of medical service to the injured. A popular nonintrusive solution for fall …

Faced with the growing population of seniors, developed countries need to establish new
healthcare systems to ensure the safety of elderly people at home. Computer vision provides …

Activity recognition systems are a large field of research and development, currently with a
focus on advanced machine learning algorithms, innovations in the field of hardware …

We propose a novel computer vision-based fall detection system for monitoring an elderly
person in a home care application. Background subtraction is applied to extract the …

More than a third of elderly fall each year in the United States. It has been shown that the
longer the lie on the floor, the poorer is the outcome of the medical intervention. To reduce …

We propose in this paper the use of Wavelet transform (WT) to detect human falls using a
ceiling mounted Doppler range control radar. The radar senses any motions from falls as …