A comprehensive survey of various approaches on human fall detection for elderly people

R Parmar, S Trapasiya - Wireless Personal Communications, 2022 - Springer
With the advancement in the healthcare and medicine sector, now a day's average life span
of humans has increased. Due to an increase in average life expectancy, the demographic …

Using deep neural networks for human fall detection based on pose estimation

M Salimi, JJM Machado, JMRS Tavares - Sensors, 2022 - mdpi.com
Requests for caring for and monitoring the health and safety of older adults are increasing
nowadays and form a topic of great social interest. One of the issues that lead to serious …

Fall detection by human pose estimation and kinematic theory

V Dentamaro, D Impedovo… - 2020 25th international …, 2021 - ieeexplore.ieee.org
In a society with increasing age, the understanding of human falls it is of paramount
importance. This paper presents a Decision Support System whose pipeline is designed to …

Feasibility of using floor vibration to detect human falls

Y Shao, X Wang, W Song, S Ilyas, H Guo… - International journal of …, 2021 - mdpi.com
With the increasing aging population in modern society, falls as well as fall-induced injuries
in elderly people become one of the major public health problems. This study proposes a …

Image processing technique and hidden Markov model for an elderly care monitoring system

SNN Htun, TT Zin, P Tin - Journal of Imaging, 2020 - mdpi.com
Advances in image processing technologies have provided more precise views in medical
and health care management systems. Among many other topics, this paper focuses on …

Fall event detection using the mean absolute deviated local ternary patterns and BiLSTM

A Banjar, H Dawood, A Javed, F Hassan - Applied Acoustics, 2022 - Elsevier
Fall detection in elder persons may result in long-lasting injury that can have severe
consequences for the rest of their lives. Additionally, prolonged delay in emergency …

Fall detection method based on spatio-temporal feature fusion using combined two-channel classification

A De, A Saha, P Kumar, G Pal - Multimedia Tools and Applications, 2022 - Springer
Nowadays, the growing population of senior citizens is a challenge for almost all developing
countries. New technologies can help monitor elderlies at home by providing an innovative …

[PDF][PDF] Convolutional Neural Network-Based Fall Detection for the Elderly Person Monitoring

KG Gunale, P Mukherji, SN Motade - J. Adv. Inf. Technol, 2023 - pdfs.semanticscholar.org
The purpose of this paper is to present a generalized human fall detection system for elderly
assistance. The human population above the age of 60 is constantly growing. India is the …

[PDF][PDF] Fall detection system for elderly people using vision-based analysis

TS Kavya, YM Jang, E Tsogtbaatar, SB Cho - Science And Technology, 2020 - romjist.ro
Fall is one the major cause of death for older people. Detecting the fall plays a major role in
saving lives. There are three different types of fall detection commonly used, such as …

Single Camera based Real Time Framework for Automated Fall Detection

PK Soni, P Jain - 2022 Second International Conference on …, 2022 - ieeexplore.ieee.org
To identify fall of a person is the most significant issue for caring of elderly who is living
alone in the home. In this paper, we propose a real-time automated fall detection and …