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A Dynamic Evidential Network for Fall Detection
IEEE Journal of Biomedical and Health Informatics, 2014This study is part of the development of a remote home healthcare monitoring application designed to detect distress situations through several types of sensors. The multisensor fusion can provide more accurate and reliable information compared to information provided by each sensor separately.
Paulo Armando Cavalcante Aguilar +4 more
openaire +3 more sources
FL-FD: Federated learning-based fall detection with multimodal data fusion
Information Fusion, 2023Francesco Piccialli +2 more
exaly
Vision-based human fall detection systems using deep learning: A review
Computers in Biology and Medicine, 2022Marco Leo, Ekram Alam, Abu Sufian
exaly
A Lightweight Model for Falling Detection
2021 RIVF International Conference on Computing and Communication Technologies (RIVF), 2021Trieu Xuan Hoa +2 more
openaire +1 more source
Demo: P-Fall: Personalization Pipeline for Fall Detection
Proceedings of the 8th ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies, 2023Anne H. H. Ngu +4 more
openaire +2 more sources
Significant risk of falls in older cancer patients
Ca-A Cancer Journal for Clinicians, 2013Mary Kay Barton
exaly
A Simple Fall Detection Scheme for Early Detection of Falls in Elderly People
2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT), 2023Srijita Ghatak +3 more
openaire +1 more source