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Research of Fall Detection and Fall Prevention Technologies: A Review [PDF]

open access: yesSensors
Falls represent a significant global public health issue, particularly among adults over the age of 60. This comprehensive review aims to provide an in-depth examination of current fall detection and prevention technologies.
Dan Hrubý, Eva Hrubá, Martin Černý
doaj   +2 more sources

The Methods of Fall Detection: A Literature Review

open access: yesSensors, 2023
Fall Detection Systems (FDS) are automated systems designed to detect falls experienced by older adults or individuals. Early or real-time detection of falls may reduce the risk of major problems.
Nishat Tasnim Newaz, Eisuke Hanada
doaj   +3 more sources

Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review

open access: yesSensors, 2021
Falls are unusual actions that cause a significant health risk among older people. The growing percentage of people of old age requires urgent development of fall detection and prevention systems.
Sara Usmani   +4 more
doaj   +3 more sources

Enhancing Real-World Fall Detection Using Commodity Devices: A Systematic Study [PDF]

open access: yesSensors
The widespread adoption of smartphones and smartwatches has enabled non-intrusive fall detection through built-in sensors and on-device computation. While these devices are widely used by older adults, existing systems still struggle to accurately detect
Awatif Yasmin   +4 more
doaj   +2 more sources

Novel Hierarchical Fall Detection Algorithm Using a Multiphase Fall Model

open access: yesSensors, 2017
Falls are the primary cause of accidents for the elderly in the living environment. Reducing hazards in the living environment and performing exercises for training balance and muscles are the common strategies for fall prevention.
Chia-Yeh Hsieh   +4 more
doaj   +3 more sources

FallVision: A benchmark video dataset for fall detectionDataverse [PDF]

open access: yesData in Brief
This article presents a comprehensive video dataset curated specifically for fall detection research, comprising categorized fall and no-fall videos.
Nakiba Nuren Rahman   +6 more
doaj   +2 more sources

Smartphone-Based Solutions for Fall Detection and Prevention: Challenges and Open Issues

open access: yesSensors, 2014
This paper presents a state-of-the-art survey of smartphone (SP)-based solutions for fall detection and prevention. Falls are considered as major health hazards for both the elderly and people with neurodegenerative diseases.
Mohammad Ashfak Habib   +5 more
doaj   +3 more sources

Fall Detection Method Integrating Multi-Feature and Semantic Graph Convolution Network [PDF]

open access: yesJisuanji gongcheng, 2023
Falls have a serious impact on the lives and health of elderly people.Fall detection can reduce the risk of elderly people falling again,thereby ensuring their ability to live and improving their quality of life.Currently,vision-based fall detection ...
CHEN Wenxuan, ZENG Bi, GUO Zhixing
doaj   +1 more source

Fall Detection in Elderly Care System Based on Group of Pictures

open access: yesVietnam Journal of Computer Science, 2021
Fall detection is a serious problem in elder people. Constant inspection is important for this fall identification. Currently, numerous methods associated with fall detection are a significant area of research for safety purposes and for the healthcare ...
S. Sowmyayani, V. Murugan, J. Kavitha
doaj   +1 more source

Comprehensive Review of Vision-Based Fall Detection Systems

open access: yesSensors, 2021
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 paper, a comprehensive revision of all published articles in the main ...
Jesús Gutiérrez   +2 more
doaj   +1 more source

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