Vision-based human fall detection systems using deep learning: A review
Human fall is one of the very critical health issues, especially for elders and disabled people
living alone. The number of elder populations is increasing steadily worldwide. Therefore …
living alone. The number of elder populations is increasing steadily worldwide. Therefore …
Robust fall detection in video surveillance based on weakly supervised learning
Fall event detection has been a research hotspot in recent years in the fields of medicine
and health. Currently, vision-based fall detection methods have been considered the most …
and health. Currently, vision-based fall detection methods have been considered the most …
Exploring the landscape of ubiquitous in-home health monitoring: A comprehensive survey
Ubiquitous in-home health monitoring systems have become popular in recent years due to
the rise of digital health technologies and the growing demand for remote health monitoring …
the rise of digital health technologies and the growing demand for remote health monitoring …
Fall detection system based on infrared array sensor and multi-dimensional feature fusion
Y Yang, H Yang, Z Liu, Y Yuan, X Guan - Measurement, 2022 - Elsevier
In recent years, with the acceleration of the aging of the population, the safety of the elderly
living alone has attracted great attention, and the falls have become one of the main factors …
living alone has attracted great attention, and the falls have become one of the main factors …
Video-based fall detection using human pose and constrained generative adversarial network
Falls are a major health threat for older people. A timely assistance can reduce the extent of
physical injury caused by the falls. Currently, low-cost and convenient video surveillance …
physical injury caused by the falls. Currently, low-cost and convenient video surveillance …
Human fall detection using 3D multi-stream convolutional neural networks with fusion
T Alanazi, G Muhammad - Diagnostics, 2022 - mdpi.com
Human falls, especially for elderly people, can cause serious injuries that might lead to
permanent disability. Approximately 20–30% of the aged people in the United States who …
permanent disability. Approximately 20–30% of the aged people in the United States who …
Future frame prediction network for human fall detection in surveillance videos
S Li, X Song - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Video fall detection is one of the most significant challenges in computer vision domain, and
it usually involves the recognition of events that do not conform to expected falls. Recently, a …
it usually involves the recognition of events that do not conform to expected falls. Recently, a …
Detecting human falls in poor lighting: object detection and tracking approach for indoor safety
Falls are one the leading causes of accidental death for all people, but the elderly are at
particularly high risk. Falls are severe issue in the care of those elderly people who live …
particularly high risk. Falls are severe issue in the care of those elderly people who live …
Mitigating human fall injuries: a novel system utilizing 3d 4-stream convolutional neural networks and image fusion
T Alanazi, K Babutain, G Muhammad - Image and Vision Computing, 2024 - Elsevier
Unintentional human falls, especially in seniors, lead to serious injuries, fatalities, and
reduced standard of life. Vision-based fall detection methods have demonstrated their …
reduced standard of life. Vision-based fall detection methods have demonstrated their …
A robust and automated vision-based human fall detection system using 3D multi-stream CNNs with an image fusion technique
T Alanazi, K Babutain, G Muhammad - Applied Sciences, 2023 - mdpi.com
Unintentional human falls, particularly in older adults, can result in severe injuries and
death, and negatively impact quality of life. The World Health Organization (WHO) states that …
death, and negatively impact quality of life. The World Health Organization (WHO) states that …