Fall detection approaches for monitoring elderly healthcare using Kinect technology: a survey

M Fayad, MY Hachani, K Ghoumid, A Mostefaoui… - Applied Sciences, 2023 - mdpi.com
The severity of falls increases with age and reduced mobility. Falls are a frequent source of
domestic accidents and accidental death on the part of fragile people. They produce …

Privacy-Preserving Human Activity Recognition System for Assisted Living Environments

A Jain, R Akerkar, A Srivastava - IEEE Transactions on Artificial …, 2023 - ieeexplore.ieee.org
Automatic human activity recognition has numerous applications, especially in elderly
support and healthcare. Several approaches for human activity recognition (HAR) using a …

A Real-time Fall Detection System Using ToF Depth Images

R Li, D Li, M Zhang - … on Smart City and Informatization (iSCI), 2022 - ieeexplore.ieee.org
Fall accident is a major health problem resulting in serious injuries even deaths, especially
among the elderly. Moreover, the population is aging globally, indicating that more fall …

Comparative Analysis Of Deep Learning Models For Human Fall Detection Using Skeleton Features From Video Surveillance System

A Kumari, P Kanwal - 2023 IEEE Fifth International Conference …, 2023 - ieeexplore.ieee.org
Detecting human falls is a critical task within video surveillance systems, as it can generate
an alert to caregivers during the event of a fall, leading to major bone injuries and might …

Vision-Based Fall Detection Systems Using 3D Skeleton Features for Elderly Security: A Survey

M Zobi, O Guendoul, Y Tabii, ROH Thami - The International Conference …, 2023 - Springer
In recent years, the pace of the elderly people population increasing dramatically every day
and even more than before. For elderly people, falls are one of the most critical healthcare …