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 …
problems among elderly individuals. With the advancements of technologies, falls have …
Analysis of public datasets for wearable fall detection systems
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 …
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
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 …
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
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 …
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 …
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
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 …
Elderly people who carry battery powered health monitoring systems can move unhindered …
A feature selection approach for fall detection using various machine learning classifiers
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 …
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 …
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 …
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 …
management interventions. Mobile health (mHealth) technologies are becoming a popular …