Journal ArticleDOI
A survey on fall detection: Principles and approaches
TLDR
A comprehensive survey of different systems for fall detection and their underlying algorithms is given, divided into three main categories: wearable device based, ambience device based and vision based.About:
This article is published in Neurocomputing.The article was published on 2013-01-01. It has received 777 citations till now.read more
Citations
More filters
Journal ArticleDOI
A Survey on Ambient-Assisted Living Tools for Older Adults
Parisa Rashidi,Alex Mihailidis +1 more
TL;DR: The emergence of `ambient-assisted living’ (AAL) tools for older adults based on ambient intelligence paradigm is summarized and the state-of-the-art AAL technologies, tools, and techniques are summarized.
Journal ArticleDOI
WiFall: Device-Free Fall Detection by Wireless Networks
TL;DR: This work analyzes the wireless signal propagation model considering human activities influence and proposes a novel and truly unobtrusive detection method based on the advanced wireless technologies, which it is called as WiFall, which withdraws the need for hardware modification, environmental setup and worn or taken devices.
Journal ArticleDOI
A Survey on Ambient Intelligence in Healthcare
TL;DR: The state-of-the-art artificial intelligence (AI) methodologies used for developing AmI system in the healthcare domain are summarized, including various learning techniques (for learning from user interaction), reasoning techniques ( for reasoning about users' goals and intensions), and planning techniques (For planning activities and interactions).
Journal ArticleDOI
Challenges, issues and trends in fall detection systems
TL;DR: An extensive literature review of fall detection systems is presented, including comparisons among various kinds of studies, to serve as a reference for both clinicians and biomedical engineers planning or conducting field investigations.
Journal ArticleDOI
Human fall detection on embedded platform using depth maps and wireless accelerometer
Bogdan Kwolek,Michal Kepski +1 more
TL;DR: This paper presents how to design and implement a low-cost system for reliable fall detection with very low false alarm ratio, a 365/7/24 embedded system permitting unobtrusive fall detection as well as preserving privacy of the user.
References
More filters
Journal ArticleDOI
Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring
TL;DR: Results demonstrate the feasibility of implementing an accelerometry-based, real-time movement classifier using embedded intelligence.
Journal ArticleDOI
Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement.
TL;DR: An integrated approach is described in which a single, waist-mounted accelerometry system is used to monitor a range of different parameters of human movement in an unsupervised setting.
Proceedings ArticleDOI
Fall detection - Principles and Methods
Norbert Noury,Anthony Fleury,Pierre Rumeau,Alan K. Bourke,Gearóid Ó Laighin,Vincent Rialle,Jean-Eric Lundy +6 more
TL;DR: The difficulty to compare the performances of the different systems due to the lack of a common framework is pointed out and a procedure for this evaluation is proposed.
Proceedings ArticleDOI
Wearable Sensors for Reliable Fall Detection
TL;DR: The Ivy Project aims to provide a path towards more independent living for the elderly by introducing small, non-invasive sensor motes in conjunction with a wireless network to detect the occurrence of a fall and the location of the victim.
Journal ArticleDOI
Robust Video Surveillance for Fall Detection Based on Human Shape Deformation
TL;DR: A new method is proposed to detect falls by analyzing human shape deformation during a video sequence, which gives very good results (as low as 0% error with a multi-camera setup) compared with other common image processing methods.