A Dynamic Evidential Network for Fall Detection-Reference-Cited by-同舟云学术

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A Dynamic Evidential Network for Fall Detection

Published:2014-07 Issue:4 Volume:18 Page:1103-1113
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Cavalcante Aguilar Paulo Armando,Boudy Jerome,Istrate Dan,Dorizzi Bernadette,Moura Mota Joao Cesar

Funder

European FP7-CompanionAble

Brazilian Mobility Program Ciencias sem Fronteiras¿CNPq, Brazil

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/6221020/6846381/06634232.pdf?arnumber=6634232

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Human Fall Detection in Depth-Videos Using Temporal Templates and Convolutional Neural Networks;Learning and Analytics in Intelligent Systems;2021-12-01

2. Performance, Challenges, and Limitations in Multimodal Fall Detection Systems: A Review;IEEE Sensors Journal;2021-09-01

3. Multi-frame decision fusion based on evidential association rule mining for target identification;Applied Soft Computing;2020-09

4. Human Fall Detection Using Temporal Templates and Convolutional Neural Networks;Proceedings of the Third International Conference on Computational Intelligence and Informatics;2020

5. Non-intrusive human activity recognition and abnormal behavior detection on elderly people: a review;Artificial Intelligence Review;2019-06-03

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