AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems

IH Sarker - SN Computer Science, 2022 - Springer
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …

A survey of emergencies management systems in smart cities

DG Costa, JPJ Peixoto, TC Jesus, P Portugal… - IEEE …, 2022 - ieeexplore.ieee.org
The rapid urbanization process in the last century has deeply changed the way we live and
interact with each other. As most people now live in urban areas, cities are experiencing …

Comprehensive review of vision-based fall detection systems

J Gutiérrez, V Rodríguez, S Martin - Sensors, 2021 - mdpi.com
Vision-based fall detection systems have experienced fast development over the last years.
To determine the course of its evolution and help new researchers, the main audience of this …

Multimodal spatiotemporal skeletal kinematic gait feature fusion for vision-based fall detection

M Amsaprabhaa - Expert Systems with Applications, 2023 - Elsevier
Fall happens when a person's movement coordination is disturbed, forcing them to rest on
the ground unintentionally causing serious health risks. The objective of this work is to …

Vision-based fall detection using st-gcn

O Keskes, R Noumeir - IEEE Access, 2021 - ieeexplore.ieee.org
Falls are a growing issue in society and has become a hot topic in the healthcare domain.
Falls are more likely to occur to due to age or health problems such as cardiovascular issues …

Detection and classification of human activity for emergency response in smart factory shop floor

CI Nwakanma, FB Islam, MP Maharani, JM Lee… - Applied Sciences, 2021 - mdpi.com
Factory shop floor workers are exposed to threats and accidents due to their encounters with
tools, equipment, and toxic materials. There are cases of occupational accidents resulting in …

Design of inception with deep convolutional neural network based fall detection and classification model

K Durga Bhavani, M Ferni Ukrit - Multimedia Tools and Applications, 2024 - Springer
Falling is the most serious health problem for elderly population resulting in serious injuries,
if not treated quickly. As the world population gets increased, the number of serious falls and …

Fall detection based on dual-channel feature integration

BH Wang, J Yu, K Wang, XY Bao, KM Mao - IEEE Access, 2020 - ieeexplore.ieee.org
Falls have caught great harm to the elderly living alone at home. This paper presents a
novel visual-based fall detection approach by Dual-Channel Feature Integration. The …

IoT-enabled gait assessment: the next step for habitual monitoring

F Young, R Mason, RE Morris, S Stuart, A Godfrey - Sensors, 2023 - mdpi.com
Walking/gait quality is a useful clinical tool to assess general health and is now broadly
described as the sixth vital sign. This has been mediated by advances in sensing …

Dynamic fall detection using graph-based spatial temporal convolution and attention network

R Egawa, ASM Miah, K Hirooka, Y Tomioka, J Shin - Electronics, 2023 - mdpi.com
The prevention of falls has become crucial in the modern healthcare domain and in society
for improving ageing and supporting the daily activities of older people. Falling is mainly …