FL-FD: Federated learning-based fall detection with multimodal data fusion
Multimodal data fusion is a critical element of fall detection systems, as it provides more
comprehensive information than single-modal data. Yet, data heterogeneity between …
comprehensive information than single-modal data. Yet, data heterogeneity between …
Privacy preserving human fall detection using video data
U Asif, B Mashford, S Von Cavallar… - … Learning for Health …, 2020 - proceedings.mlr.press
Falling can have fatal consequences for the elderly people especially if the fallen person is
unable to call for help due to loss of consciousness or any other associated injury. Automatic …
unable to call for help due to loss of consciousness or any other associated injury. Automatic …
[HTML][HTML] On the comparison of wearable sensor data fusion to a single sensor machine learning technique in fall detection
P Tsinganos, A Skodras - Sensors, 2018 - mdpi.com
In the context of the ageing global population, researchers and scientists have tried to find
solutions to many challenges faced by older people. Falls, the leading cause of injury …
solutions to many challenges faced by older people. Falls, the leading cause of injury …
[HTML][HTML] Elderly fall detection systems: A literature survey
Falling is among the most damaging event elderly people may experience. With the ever-
growing aging population, there is an urgent need for the development of fall detection …
growing aging population, there is an urgent need for the development of fall detection …
Multimodal spatiotemporal skeletal kinematic gait feature fusion for vision-based fall detection
M Amsaprabhaa - Expert Systems with Applications, 2023 - Elsevier
Fall happens when a person's movement coordination is disturbed, forcing them to rest on
the ground unintentionally causing serious health risks. The objective of this work is to …
the ground unintentionally causing serious health risks. The objective of this work is to …
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 …
A multi-modal multi-view dataset for human fall analysis and preliminary investigation on modality
Over the last decade, a large number of methods have been proposed for human fall
detection. Most existing methods were evaluated based on trimmed datasets. More …
detection. Most existing methods were evaluated based on trimmed datasets. More …
A multimodal approach using deep learning for fall detection
YM Galvão, J Ferreira, VA Albuquerque… - Expert Systems with …, 2021 - Elsevier
A computational system able to automatically and efficiently detect and classify falls would
be beneficial for monitoring the elderly population and speed up the assistance …
be beneficial for monitoring the elderly population and speed up the assistance …
Pre-impact fall detection based on multi-source CNN ensemble
L Wang, M Peng, Q Zhou - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
As the number of aged population grows, fall detection has attracted considerable research
attentions in recent years. Through the data collected by wearable sensors and specific …
attentions in recent years. Through the data collected by wearable sensors and specific …
[PDF][PDF] Vision Based Real Time Monitoring System for Elderly Fall Event Detection Using Deep Learning.
Human fall detection plays a vital part in the design of sensor based alarming system, aid
physical therapists not only to lessen after fall effect and also to save human life. Accurate …
physical therapists not only to lessen after fall effect and also to save human life. Accurate …