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 …

Vision-based human fall detection systems using deep learning: A review

E Alam, A Sufian, P Dutta, M Leo - Computers in biology and medicine, 2022 - Elsevier
Human fall is one of the very critical health issues, especially for elders and disabled people
living alone. The number of elder populations is increasing steadily worldwide. Therefore …

A study of fall detection in assisted living: Identifying and improving the optimal machine learning method

N Thakur, CY Han - Journal of sensor and actuator networks, 2021 - mdpi.com
This paper makes four scientific contributions to the field of fall detection in the elderly to
contribute to their assisted living in the future of Internet of Things (IoT)-based pervasive …

From fall detection to fall prevention: A generic classification of fall-related systems

K Chaccour, R Darazi, AH El Hassani… - IEEE Sensors …, 2016 - ieeexplore.ieee.org
Falls are a major health problem for the frail community dwelling old people. For more than
two decades, falls have been extensively investigated by medical institutions to mitigate their …

Review of fall detection techniques: A data availability perspective

SS Khan, J Hoey - Medical engineering & physics, 2017 - Elsevier
A fall is an abnormal activity that occurs rarely; however, missing to identify falls can have
serious health and safety implications on an individual. Due to the rarity of occurrence of …

Automatic fall monitoring: A review

N Pannurat, S Thiemjarus, E Nantajeewarawat - Sensors, 2014 - mdpi.com
Falls and fall-related injuries are major incidents, especially for elderly people, which often
mark the onset of major deterioration of health. More than one-third of home-dwelling people …

[HTML][HTML] 3D depth image analysis for indoor fall detection of elderly people

L Yang, Y Ren, W Zhang - Digital Communications and Networks, 2016 - Elsevier
This paper presents a new fall detection method of elderly people in a room environment
based on shape analysis of 3D depth images captured by a Kinect sensor. Depth images …

Practical and validated tool to assess falls risk in the primary care setting: a systematic review

WMA Meekes, JC Korevaar, CJ Leemrijse… - BMJ open, 2021 - bmjopen.bmj.com
Objective Although several falls risk assessment tools are available, it is unclear which have
been validated and which would be most suitable for primary care practices. This systematic …

Development of home intelligent fall detection IoT system based on feedback optical flow convolutional neural network

YZ Hsieh, YL Jeng - Ieee Access, 2017 - ieeexplore.ieee.org
Fall events are important health issues in elderly living environments such as homes.
Hence, a confident and real-time video surveillance device that pays attention could better …

A footwear-based methodology for fall detection

L Montanini, A Del Campo, D Perla… - IEEE Sensors …, 2017 - ieeexplore.ieee.org
Automatic fall detection is an active research area since several years. Basically, this is
motivated by the impact that falls have, in terms of mortality, morbidity, and social costs …