[PDF][PDF] Accelerometer-based elderly fall detection system using edge artificial intelligence architecture

OZ Salah, SK Selvaperumal, R Abdulla - International Journal of …, 2022 - academia.edu
Falls have long been one of the most serious threats to elderly people's health. Detecting
falls in real-time can reduce the time the elderly remains on the floor after a fall, hence …

Elderly fall detection with an accelerometer using lightweight neural networks

G Wang, Q Li, L Wang, Y Zhang, Z Liu - Electronics, 2019 - mdpi.com
Falls have been one of the main threats to people's health, especially for the elderly.
Detecting falls in time can prevent the long lying time, which is extremely fatal. This paper …

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 …

A smartphone-enabled fall detection framework for elderly people in connected home healthcare

MM Hassan, A Gumaei, G Aloi, G Fortino… - ieee network, 2019 - ieeexplore.ieee.org
In recent years, connected home healthcare, which involves multiple technologies such as
wearable sensors, audio and video technology, and pervasive computing, has drawn …

An enhanced ensemble deep neural network approach for elderly fall detection system based on wearable sensors

Z Mohammad, AR Anwary, MF Mridha, MSH Shovon… - Sensors, 2023 - mdpi.com
Fatal injuries and hospitalizations caused by accidental falls are significant problems among
the elderly. Detecting falls in real-time is challenging, as many falls occur in a short period …

Fall detection system with artificial intelligence-based edge computing

BS Lin, T Yu, CW Peng, CH Lin, HK Hsu, IJ Lee… - IEEE …, 2022 - ieeexplore.ieee.org
Falls are the second leading cause of death from unintentional injuries in older adults.
Although many systems have been used to detect falls, they are limited by the computational …

A survey of IoT-based fall detection for aiding elderly care: Sensors, methods, challenges and future trends

ME Karar, HI Shehata, O Reyad - Applied Sciences, 2022 - mdpi.com
Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …

Internet of things and deep learning enabled elderly fall detection model for smart homecare

T Vaiyapuri, EL Lydia, MY Sikkandar, VG Díaz… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, the techniques of Internet of Things (IoT) and mobile communications have been
developed to gather human and environment information data for a variety of intelligent …

FallDeF5: A fall detection framework using 5G-based deep gated recurrent unit networks

MS Al-Rakhami, A Gumaei, M Altaf, MM Hassan… - IEEE …, 2021 - ieeexplore.ieee.org
Fall prevalence is high among elderly people, which is challenging due to the severe
consequences of falling. This is why rapid assistance is a critical task. Ambient assisted …

IoT based fall detection system for elderly healthcare

A Tahir, W Taylor, A Taha, M Usman, SA Shah… - Internet of Things for …, 2022 - Springer
Falls are a leading cause of immobility, morbidity, and mortality in older adults. Falls incur
high cost to health services with millions of bed days. Half of the older adults over 65 years …