[HTML][HTML] Wearables and the medical revolution

J Dunn, R Runge, M Snyder - Personalized medicine, 2018 - Taylor & Francis
Wearable sensors are already impacting healthcare and medicine by enabling health
monitoring outside of the clinic and prediction of health events. This paper reviews current …

Elderly fall detection systems: A literature survey

X Wang, J Ellul, G Azzopardi - Frontiers in Robotics and AI, 2020 - frontiersin.org
Falling is among the most damaging event elderly people may experience. With the ever-
growing aging population, there is an urgent need for the development of fall detection …

Edge-computing architectures for internet of things applications: A survey

S Hamdan, M Ayyash, S Almajali - Sensors, 2020 - mdpi.com
The rapid growth of the Internet of Things (IoT) applications and their interference with our
daily life tasks have led to a large number of IoT devices and enormous sizes of IoT …

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 …

A review and categorization of techniques on device-free human activity recognition

Z Hussain, QZ Sheng, WE Zhang - Journal of Network and Computer …, 2020 - Elsevier
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Different approaches for human activity recognition: A survey

Z Hussain, M Sheng, WE Zhang - arXiv preprint arXiv:1906.05074, 2019 - arxiv.org
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Mobility-aware task scheduling in cloud-Fog IoT-based healthcare architectures

RM Abdelmoneem, A Benslimane, E Shaaban - Computer networks, 2020 - Elsevier
Healthcare applications are distinguished by being critical and time sensitive. Multiple
healthcare applications have been implemented through Internet of Things (IoT) technology …

Edge-AI in LoRa-based health monitoring: Fall detection system with fog computing and LSTM recurrent neural networks

JP Queralta, TN Gia, H Tenhunen… - … and signal processing …, 2019 - ieeexplore.ieee.org
Remote healthcare monitoring has exponentially grown over the past decade together with
the increasing penetration of Internet of Things (IoT) platforms. IoT-based health systems …

Pathway of trends and technologies in fall detection: a systematic review

R Tanwar, N Nandal, M Zamani, AA Manaf - Healthcare, 2022 - mdpi.com
Falling is one of the most serious health risk problems throughout the world for elderly
people. Considerable expenses are allocated for the treatment of after-fall injuries and …

Sensor-based fall detection systems: a review

S Nooruddin, MM Islam, FA Sharna, H Alhetari… - Journal of Ambient …, 2022 - Springer
Accidental fall is one of the most prevalent causes of loss of autonomy, deaths and injuries
among the elderly people. Fall detection and rescue systems with the advancement of …