Fall detection system for elderly people using IoT and big data

D Yacchirema, JS De Puga, C Palau… - Procedia computer science, 2018 - Elsevier
Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elder and a significant decrease in his …

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 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 …

[HTML][HTML] AI based elderly fall prediction system using wearable sensors: A smart home-care technology with IOT

P Kulurkar, C kumar Dixit, VC Bharathi… - Measurement …, 2023 - Elsevier
Impairment and a substantial decline in the mobility, independence, and quality of life of an
elderly person. In this regard, the current work suggests a novel IoT-based system that …

Development of a real-time wearable fall detection system in the context of Internet of Things

Z Qian, Y Lin, W Jing, Z Ma, H Liu, R Yin… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Fall detection is of increasing significance in terms of the health monitoring of the elderly and
disabled people, as falls may lead to physical injuries or even mental trauma. The existing …

IoT based smart health monitoring with CNN using edge computing

S Vimal, YH Robinson, S Kadry, HV Long… - Journal of Internet …, 2021 - jit.ndhu.edu.tw
In the last years, healthcare monitoring has followed a great upwards grown compared to
the past decade with the intrusion of the Internet of Things (IoT). The IoT based health …

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 …

Killer heuristic optimized convolution neural network-based fall detection with wearable IoT sensor devices

A Alarifi, A Alwadain - Measurement, 2021 - Elsevier
Current multi-disciplinary research views falls in the elderly as a significant worldwide public
health risk. Several fall detection systems have been created that use wearable motion …

Latest research trends in fall detection and prevention using machine learning: A systematic review

S Usmani, A Saboor, M Haris, MA Khan, H Park - Sensors, 2021 - mdpi.com
Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …

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 …