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

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 …

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 …

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 …

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 …

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 …

Falls are a major health problem for the frail community dwelling old people. For more than
two decades, falls have been extensively investigated by medical institutions to mitigate their …