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 …

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 …

Deep learning based fall detection using smartwatches for healthcare applications

G Şengül, M Karakaya, S Misra… - … Signal Processing and …, 2022 - Elsevier
We implement a smart watch-based system to predict fall detection. We differentiate fall
detection from four common daily activities: sitting, squatting, running, and walking …

Improved Chan algorithm based optimum UWB sensor node localization using hybrid particle swarm optimization

YV Lakshmi, P Singh, M Abouhawwash… - IEEE …, 2022 - ieeexplore.ieee.org
The localization of Wireless sensor networks (WSNs) has been recognized as one of the
most challenging problems to overcome. Thus, much work has been given to solving this …

Soil color analysis based on a RGB camera and an artificial neural network towards smart irrigation: A pilot study

A Al-Naji, AB Fakhri, SK Gharghan, J Chahl - Heliyon, 2021 - cell.com
Irrigation operations in agriculture are one of the largest water consumers in the world, and it
has been increasing due to rising population and consequent increased demand for food …

A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques

SK Gharghan, HA Hashim - Measurement, 2024 - Elsevier
Falls among older adults substantially affect mobility, health, and mortality. However,
advancements in wireless and internet-of-things technologies have led to the development …

Neural network-based Alzheimer's patient localization for wireless sensor network in an indoor environment

Z Munadhil, SK Gharghan, AH Mutlag, A Al-Naji… - IEEE …, 2020 - ieeexplore.ieee.org
The number of older adults with Alzheimer's disease is increasing every year. The
associated memory problems cause many difficulties for Alzheimer's patients and their …

Performance, challenges, and limitations in multimodal fall detection systems: A review

VR Xefteris, A Tsanousa, G Meditskos… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Fall events among older adults are a serious concern, having an impact on their health and
well-being. The development of the Internet of Things (IoT) over the last years has led to the …

Accurate fall detection for patients with Parkinson's disease based on a data event algorithm and wireless sensor nodes

HA Hashim, SL Mohammed, SK Gharghan - Measurement, 2020 - Elsevier
Elderly fall detection in Parkinson's disease (PD) and epilepsy can cause broken bones or
other injuries, decreasing the quality of life and possibly resulting in death. However, such …

UWB/BLE tracking system for elderly people monitoring

J Kolakowski, V Djaja-Josko, M Kolakowski, K Broczek - Sensors, 2020 - mdpi.com
Localization systems are the source of data that allows to evaluate elderly person's
behaviour, to draw conclusions concerning his or her health status and wellbeing, and to …