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 …

Machine learning in safety and health research: a scientometric analysis

KH Abdullah, D Sofyan - International Journal of Information Science and …, 2023 - ijism.isc.ac
Safety and health are intricately interwoven and have become indispensable to the thriving
business world and anthropology. It is concerned with ensuring employees' physical …

Data-driven and Knowledge-based predictive maintenance method for industrial robots for the production stability of intelligent manufacturing

X Wang, M Liu, C Liu, L Ling, X Zhang - Expert Systems with Applications, 2023 - Elsevier
The service stability of industrial robots (IRs) is considered the basis for ensuring intelligent
manufacturing operations. Knowledge-based work plays a central role in the practical …

Detection of important features and comparison of datasets for fall detection based on wrist-wearable devices

JK Kim, K Lee, SG Hong - Expert Systems with Applications, 2023 - Elsevier
Falls are a major cause of unintended injuries and death worldwide. Fall detection has
received considerable attention in wrist-wearable devices such as smartwatches and bands …

[HTML][HTML] Life satisfaction: insights from the world values survey

D Homocianu - Societies, 2024 - mdpi.com
This paper explores enduring influences on life satisfaction using empirical analysis of
World Values Survey (WVS) data (four versions of the most comprehensive dataset, namely …

Artificial intelligence techniques in wireless sensor networks for accurate localization of user in floor, building and indoor area

J Chadha, A Jain, Y Kumar - Multimedia Tools and Applications, 2022 - Springer
An indoor positioning system (IPS) is a network of sensors that may locate persons or
objects in situations when GPS and other satellite technologies are insufficient or fail …

Construction accident prevention: a systematic review of machine learning approaches

M Cavalcanti, L Lessa, BM Vasconcelos - Work, 2023 - content.iospress.com
BACKGROUND: The construction industry is an important productive sector worldwide.
However, the industry is also responsible for high numbers of work-related accidents, which …

Proposal of Digital Triplet-based predictive maintenance framework

H Sakamoto, Y Mitake, A Ito, N Noguchi, M Akamatsu… - Procedia CIRP, 2024 - Elsevier
Predictive maintenance (PdM) has been attracting attention because of the ease of data
acquisition with the Internet of Things. However, existing PdM approaches fall short of …

Machine learning based monitoring of worker's health and work place using IoT

P Sakthi, AM Misthack, C Rajkumar… - AIP Conference …, 2023 - pubs.aip.org
The recent pandemic attack COVID-19 has caused a great health issue for all people,
mainly the workers in the industries. However, health monitoring systems are exceedingly …

Safety Wearable Devices for Monitoring and Predicting the Emergency of Civil Workers Using Mobile Application

MK Devi, R Parthasarathy, C Tamilselvi… - … and Smart Electrical …, 2023 - ieeexplore.ieee.org
In several industries, wearable sensing devices are assisting workers in maintaining their
health and safety. However, because WSDs can record precise information that might be …