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 …

A survey on wearable sensor modality centred human activity recognition in health care

Y Wang, S Cang, H Yu - Expert Systems with Applications, 2019 - Elsevier
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

UP-fall detection dataset: A multimodal approach

L Martínez-Villaseñor, H Ponce, J Brieva, E Moya-Albor… - Sensors, 2019 - mdpi.com
Falls, especially in elderly persons, are an important health problem worldwide. Reliable fall
detection systems can mitigate negative consequences of falls. Among the important …

A survey on cybersecurity, data privacy, and policy issues in cyber-physical system deployments in smart cities

H Habibzadeh, BH Nussbaum, F Anjomshoa… - Sustainable Cities and …, 2019 - Elsevier
Abstract Deployments of Cyber Physical Systems (CPSs) in smart cities are poised to
significantly improve healthcare, transportation services, utilities, safety, and environmental …

RT-Fall: A real-time and contactless fall detection system with commodity WiFi devices

H Wang, D Zhang, Y Wang, J Ma… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper presents the design and implementation of RT-Fall, a real-time, contactless, low-
cost yet accurate indoor fall detection system using the commodity WiFi devices. RT-Fall …

Abnormal behavior recognition for intelligent video surveillance systems: A review

AB Mabrouk, E Zagrouba - Expert Systems with Applications, 2018 - Elsevier
With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …

Deep learning for fall detection: Three-dimensional CNN combined with LSTM on video kinematic data

N Lu, Y Wu, L Feng, J Song - IEEE journal of biomedical and …, 2018 - ieeexplore.ieee.org
Fall detection is an important public healthcare problem. Timely detection could enable
instant delivery of medical service to the injured. A popular nonintrusive solution for fall …

The IoT-based heart disease monitoring system for pervasive healthcare service

C Li, X Hu, L Zhang - Procedia computer science, 2017 - Elsevier
In China, most of heart attack results in death before the patients get any treatment. Because
the traditional healthcare mode is passive, by which patients call the healthcare service by …

Illuminating the dark spaces of healthcare with ambient intelligence

A Haque, A Milstein, L Fei-Fei - Nature, 2020 - nature.com
Advances in machine learning and contactless sensors have given rise to ambient
intelligence—physical spaces that are sensitive and responsive to the presence of humans …

Fall detection system for elderly people using IoT and ensemble machine learning algorithm

D Yacchirema, JS de Puga, C Palau… - Personal and Ubiquitous …, 2019 - Springer
Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elderly and a significant decrease in his …