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 …

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 …

Comprehensive review of vision-based fall detection systems

J Gutiérrez, V Rodríguez, S Martin - Sensors, 2021 - mdpi.com
Vision-based fall detection systems have experienced fast development over the last years.
To determine the course of its evolution and help new researchers, the main audience of this …

Radar and RGB-depth sensors for fall detection: A review

E Cippitelli, F Fioranelli, E Gambi… - IEEE Sensors …, 2017 - ieeexplore.ieee.org
This paper reviews recent works in the literature on the use of systems based on radar and
RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research …

Fall detection monitoring systems: a comprehensive review

P Vallabh, R Malekian - Journal of Ambient Intelligence and Humanized …, 2018 - Springer
The increase in elderly population especially in the developed countries and the number of
elderly people living alone can result in increased healthcare costs which can cause a huge …

A survey on vision-based fall detection

Z Zhang, C Conly, V Athitsos - Proceedings of the 8th ACM international …, 2015 - dl.acm.org
Falls are a major cause of fatal injury for the elderly population. To improve the quality of
living for seniors, a wide range of monitoring systems with fall detection functionality have …

Fall detection and human activity classification using wearable sensors and compressed sensing

O Kerdjidj, N Ramzan, K Ghanem, A Amira… - Journal of Ambient …, 2020 - Springer
The fall of elderly patients is still a critical medical issue since it can cause irreversible bone
injuries due to the elderly bones weakness. To mitigate the likelihood of the occurrence of a …

A multi-stream CNN for deep violence detection in video sequences using handcrafted features

SM Mohtavipour, M Saeidi, A Arabsorkhi - The Visual Computer, 2022 - Springer
Intelligent video surveillance systems have been used recently for automatic monitoring of
human interactions. Although they play a significant role in reducing security concerns, there …

[HTML][HTML] Human abnormal behavior detection using CNNs in crowded and uncrowded surveillance–A survey

P Kuppusamy, VC Bharathi - Measurement: Sensors, 2022 - Elsevier
The demand for surveillance networks is increasing universally on account of decreasing
the faith in people. This leads to monitor the people during working, roaming, traveling, and …

Multiple comparator classifier framework for accelerometer-based fall detection and diagnostic

RM Gibson, A Amira, N Ramzan… - Applied Soft …, 2016 - Elsevier
There are a significant number of high fall risk individuals who are susceptible to falling and
sustaining severe injuries. An automatic fall detection and diagnostic system is critical for …