Challenges, issues and trends in fall detection systems

R Igual, C Medrano, I Plaza - Biomedical engineering online, 2013 - Springer
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 …

Fall detection-principles and methods

N Noury, A Fleury, P Rumeau… - 2007 29th annual …, 2007 - ieeexplore.ieee.org
Fall detection of the elderly is a major public health problem. Thus it has generated a wide
range of applied research and prompted the development of telemonitoring systems to …

Vision‐based fall detection with convolutional neural networks

A Núñez-Marcos, G Azkune… - … and mobile computing, 2017 - Wiley Online Library
One of the biggest challenges in modern societies is the improvement of healthy aging and
the support to older persons in their daily activities. In particular, given its social and …

Fall detection in homes of older adults using the Microsoft Kinect

EE Stone, M Skubic - IEEE journal of biomedical and health …, 2014 - ieeexplore.ieee.org
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 …

Robust video surveillance for fall detection based on human shape deformation

C Rougier, J Meunier, A St-Arnaud… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
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 …

RF-based fall monitoring using convolutional neural networks

Y Tian, GH Lee, H He, CY Hsu, D Katabi - Proceedings of the ACM on …, 2018 - dl.acm.org
Falls are the top reason for fatal and non-fatal injuries among seniors. Existing solutions are
based on wearable fall-alert sensors, but medical research has shown that they are …

A posture recognition-based fall detection system for monitoring an elderly person in a smart home environment

M Yu, A Rhuma, SM Naqvi, L Wang… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
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 …

ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling

SK Yadav, A Luthra, K Tiwari, HM Pandey… - Knowledge-Based …, 2022 - Elsevier
This paper presents an efficient activity recognition and fall detection system (ARFDNet).
Here, the raw RGB videos are passed to a pose estimation network to extract skeleton …

Ambient sensors for elderly care and independent living: a survey

MZ Uddin, W Khaksar, J Torresen - Sensors, 2018 - mdpi.com
Elderly care at home is a matter of great concern if the elderly live alone, since unforeseen
circumstances might occur that affect their well-being. Technologies that assist the elderly in …

A method for automatic fall detection of elderly people using floor vibrations and sound—Proof of concept on human mimicking doll falls

Y Zigel, D Litvak, I Gannot - IEEE transactions on biomedical …, 2009 - ieeexplore.ieee.org
Falls are a major risk for the elderly people living independently. Rapid detection of fall
events can reduce the rate of mortality and raise the chances to survive the event and return …