Deep learning based systems developed for fall detection: a review

MM Islam, O Tayan, MR Islam, MS Islam… - IEEE …, 2020 - ieeexplore.ieee.org
Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …

A review on fall detection in smart home for elderly and disabled people

TC Kolobe, C Tu, PA Owolawi - Journal of Advanced Computational …, 2022 - jstage.jst.go.jp
Falling is a major challenge faced by elderly and disabled people who live alone. They
therefore need reliable surveillance so they can be assisted in the event of a fall. An effective …

A study of the use of gyroscope measurements in wearable fall detection systems

E Casilari, M Álvarez-Marco, F García-Lagos - Symmetry, 2020 - mdpi.com
Due to the serious impact of falls on the quality of life of the elderly and on the economical
sustainability of health systems, the study of new monitoring systems capable of …

A comprehensive study on the use of artificial neural networks in wearable fall detection systems

E Casilari-Pérez, F García-Lagos - Expert Systems with Applications, 2019 - Elsevier
As a result of the challenge posed by demographic aging and the important personal and
medical costs associated to falls of elderly people, the study of automatic Fall Detection …

An analysis of segmentation approaches and window sizes in wearable-based critical fall detection systems with machine learning models

KC Liu, CY Hsieh, HY Huang, SJP Hsu… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Falls are the major risks and threats among elderly population. Various studies have
developed automatic critical fall detection systems for emergency alarms and medical …

A novel approach for fall detection in home environment

S Bhandari, N Babar, P Gupta, N Shah… - 2017 IEEE 6th Global …, 2017 - ieeexplore.ieee.org
The system is specially developed for elderly people living alone in their homes. A novel
method for detection of fall in home environment is presented. Video clips of certain duration …

Comparative analysis of real-time fall detection using fuzzy logic web services and machine learning

B Pandya, A Pourabdollah, A Lotfi - Technologies, 2020 - mdpi.com
Falls are the main cause of susceptibility to severe injuries in many humans, especially for
older adults aged 65 and over. Typically, falls are being unnoticed and interpreted as a mere …

[PDF][PDF] Survey on fall detection systems

Y Birku, H Agrawal - International Journal of Pure and Applied …, 2018 - academia.edu
Organization, early fall detection is an active problem in the old age group people. The
report revealed that the fall detection problem affect 28-35% people for the people around …

[PDF][PDF] Smart Fall Detection by Enhanced SVM with Fuzzy Logic Membership Function.

M Kchouri, N Harum, H Hazimeh… - JUCS: Journal of …, 2023 - pdfs.semanticscholar.org
Falling is a critical issue for disabled people, and it leads to potentially serious injuries and
death. Smart fall detection is a technology that depends on sensors and auxiliary devices …

The performance of post-fall detection using the cross-dataset: feature vectors, classifiers and processing conditions

B Koo, J Kim, Y Nam, Y Kim - Sensors, 2021 - mdpi.com
In this study, algorithms to detect post-falls were evaluated using the cross-dataset
according to feature vectors (time-series and discrete data), classifiers (ANN and SVM), and …