Research of fall detection and fall prevention technologies: A systematic review

L Ren, Y Peng - IEEE Access, 2019 - ieeexplore.ieee.org
Falls are abnormal activity events that occur infrequently; however, they are serious health
problems among elderly individuals. With the advancements of technologies, falls have …

Analysis of public datasets for wearable fall detection systems

E Casilari, JA Santoyo-Ramón, JM Cano-García - Sensors, 2017 - mdpi.com
Due to the boom of wireless handheld devices such as smartwatches and smartphones,
wearable Fall Detection Systems (FDSs) have become a major focus of attention among the …

Online fall detection using recurrent neural networks on smart wearable devices

M Musci, D De Martini, N Blago… - … on Emerging Topics …, 2020 - ieeexplore.ieee.org
Unintentional falls can cause severe injuries and even death, especially if no immediate
assistance is given. A fall detection system aims to detect a fall as soon as it occurs …

An event-triggered machine learning approach for accelerometer-based fall detection

IPES Putra, J Brusey, E Gaura, R Vesilo - Sensors, 2017 - mdpi.com
The fixed-size non-overlapping sliding window (FNSW) and fixed-size overlapping sliding
window (FOSW) approaches are the most commonly used data-segmentation techniques in …

Comparison and characterization of android-based fall detection systems

R Luque, E Casilari, MJ Morón, G Redondo - Sensors, 2014 - mdpi.com
Falls are a foremost source of injuries and hospitalization for seniors. The adoption of
automatic fall detection mechanisms can noticeably reduce the response time of the medical …

Accurate fall detection and localization for elderly people based on neural network and energy-efficient wireless sensor network

SK Gharghan, SL Mohammed, A Al-Naji… - Energies, 2018 - mdpi.com
Falls are the main source of injury for elderly patients with epilepsy and Parkinson's disease.
Elderly people who carry battery powered health monitoring systems can move unhindered …

A feature selection approach for fall detection using various machine learning classifiers

TM Le, L Van Tran, SVT Dao - IEEE Access, 2021 - ieeexplore.ieee.org
Falls are one of the most serious dangers for elderly people who live alone at home. It has
become a widespread issue all across the world. Reliable fall detection systems can help to …

[HTML][HTML] Increasing fall risk awareness using wearables: A fall risk awareness protocol

A Danielsen, H Olofsen, BA Bremdal - Journal of biomedical informatics, 2016 - Elsevier
Each year about a third of elderly aged 65 or older experience a fall. Many of these falls may
have been avoided if fall risk assessment and prevention tools where available in a daily …

Analysis of android device-based solutions for fall detection

E Casilari, R Luque, MJ Morón - Sensors, 2015 - mdpi.com
Falls are a major cause of health and psychological problems as well as hospitalization
costs among older adults. Thus, the investigation on automatic Fall Detection Systems …

mHealth technologies for osteoarthritis self-management and treatment: a systematic review

W Choi, H Zheng, P Franklin… - Health informatics …, 2019 - journals.sagepub.com
Osteoarthritis is a common chronic disease that can be better treated with the help of self-
management interventions. Mobile health (mHealth) technologies are becoming a popular …