A novel approach to enhanced fall detection using STFT and magnitude features with CNN autoencoder

T Soontornnapar, T Ploysuwan - Neural Computing and Applications, 2024 - Springer
The ability to accurately detect and classify falls is critical for ensuring timely medical
intervention, especially for the elderly, who face a significantly higher risk of severe injuries …

Fall guardian: An intelligent fall detection and monitoring system for elderly

Z Ferdous, S Sakib… - 2021 5th International …, 2021 - ieeexplore.ieee.org
With the boom in the elderly population worldwide, the number of fall detection systems
have greatly increased. With intelligent detection and monitoring, timely medical help can be …

Elderly patient fall detection using video surveillance

A Raghav, S Chaudhary - … Conference on Computer Vision and Image …, 2021 - Springer
The important goal of this work is to design a system for elderly people who are at higher risk
of falling due to some illness. We aim to do this without burdening them with the different …

Wearable fall detectors based on low power transmission systems: a systematic review

M Villa, E Casilari-Pérez - 2024 - riuma.uma.es
Early attention to individuals who suffer falls is a critical aspect when determining the
consequences of such accidents, which are among the leading causes of mortality and …

Heuristic Optimization based Abnormal Posture Detection Algorithm

Y Li, L Shang, P Pan - 2022 IEEE International Conference on …, 2022 - ieeexplore.ieee.org
This paper studies the abnormal posture detection algorithm based on heuristic
optimization. Using the data collected by sensors, the features such as acceleration and …