Pathway of trends and technologies in fall detection: a systematic review

R Tanwar, N Nandal, M Zamani, AA Manaf - Healthcare, 2022 - mdpi.com
Falling is one of the most serious health risk problems throughout the world for elderly
people. Considerable expenses are allocated for the treatment of after-fall injuries and …

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 …

[PDF][PDF] Pathway of Trends and Technologies in Fall Detection: A Systematic Review. Healthcare 2022, 10, 172

R Tanwar, N Nandal, M Zamani, AA Manaf - Cybersecurity and the …, 2022 - core.ac.uk
Falling is one of the most serious health risk problems throughout the world for elderly
people. Considerable expenses are allocated for the treatment of after-fall injuries and …

Symmetrically stacked long short-term memory networks for fall event recognition using compact convolutional neural networks-based tracker

NA Mohamed, MA Zulkifley, NAM Kamari, Z Kadim - Symmetry, 2022 - mdpi.com
In recent years, the advancement of pattern recognition algorithms, specifically the deep
learning-related techniques, have propelled a tremendous amount of researches in fall …

A novel on-wrist fall detection system using Supervised Dictionary Learning technique

F Othmen, M Baklouti, AE Lazzaretti, M Jmal… - The Impact of Digital …, 2020 - Springer
Wrist-based fall detection system provides a very comfortable and multi-modal healthcare
solution, especially for elderly risking falls. However, the wrist location presents a very …