Artificial Intelligence and IoT in Elderly Fall Prevention: A Review

D Mohan, DZ Al-Hamid, PHJ Chong… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Globally, the number of falls among the elderly is rising, particularly among those 60 and
older. An important contributing element to these falls is the fact that elderly people who live …

Fall detection and prevention for the elderly: A review of trends and challenges

N El-Bendary, Q Tan, FC Pivot, A Lam - International Journal on Smart …, 2013 - sciendo.com
It is of little surprise that falling is often accepted as a natural part of the aging process. In
fact, it is the impact rather than the occurrence of falls in the elderly, which is of most …

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 …

[HTML][HTML] Internet of things (IoT)-enabled elderly fall verification, exploiting temporal inference models in smart homes

G Kyriakopoulos, S Ntanos, T Anagnostopoulos… - International journal of …, 2020 - mdpi.com
Everyday life of the elderly and impaired population living in smart homes is challenging
because of possible accidents that may occur due to daily activities. In such activities …

[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 …

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 …

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 …

IoT-based fall prevention and detection for senior citizens, physically and intellectually disabled

L Sumi, I Longchar, S Dey - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Research shows that occurrence of falls among senior citizens, intellectually and physically
disabled people leads to major injuries and even death in emergency rooms, home …

[HTML][HTML] 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 …

A patient-specific single sensor IoT-based wearable fall prediction and detection system

W Saadeh, SA Butt, MAB Altaf - IEEE transactions on neural …, 2019 - ieeexplore.ieee.org
Falls in older adults are a major cause of morbidity and mortality and are a key class of
preventable injuries. This paper presents a patient-specific (PS) fall prediction and detection …