Human fall detection in surveillance videos using fall motion vector modeling
Representation of spatio-temporal properties of human body silhouette and human-to-
ground relationship, significantly contribute to the fall detection process. So, we propose an …
ground relationship, significantly contribute to the fall detection process. So, we propose an …
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 …
Enabling automation and edge intelligence over resource constraint IoT devices for smart home
Smart home applications are pervasive and have gained popularity due to the
overwhelming use of Internet of Things (IoT). The revolution in IoT technologies made …
overwhelming use of Internet of Things (IoT). The revolution in IoT technologies made …
Fall detection based on dual-channel feature integration
BH Wang, J Yu, K Wang, XY Bao, KM Mao - IEEE Access, 2020 - ieeexplore.ieee.org
Falls have caught great harm to the elderly living alone at home. This paper presents a
novel visual-based fall detection approach by Dual-Channel Feature Integration. The …
novel visual-based fall detection approach by Dual-Channel Feature Integration. The …
Dynamic fall detection using graph-based spatial temporal convolution and attention network
The prevention of falls has become crucial in the modern healthcare domain and in society
for improving ageing and supporting the daily activities of older people. Falling is mainly …
for improving ageing and supporting the daily activities of older people. Falling is mainly …
A pose estimation-based fall detection methodology using artificial intelligence edge computing
WJ Chang, CH Hsu, LB Chen - IEEE Access, 2021 - ieeexplore.ieee.org
As the population worldwide continues to age and the percentage of elderly people
continues to increase, falls have been become the second leading cause of death from …
continues to increase, falls have been become the second leading cause of death from …
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 …
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 …
A HOG-SVM based fall detection IoT system for elderly persons using deep sensor
The population of elderly persons continues to grow at a high rate, and fall accidents in
elderly persons have become a major public health problem. Highly developed IoT …
elderly persons have become a major public health problem. Highly developed IoT …
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 …