Direction-Independent Graph-Based GCN for Fall Detection-Reference-Cited by-同舟云学术

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Direction-Independent Graph-Based GCN for Fall Detection

Published:2024-05-25 Issue: Volume: Page:3343-3348
ISSN:
Container-title:2024 36th Chinese Control and Decision Conference (CCDC)
language:
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Author:

Li Junjie¹,Liu Yicun²,Liu Zhongze³,Fan Ming¹,Zhu Lingling⁴,Shi Dawei²

Affiliation:

1. LanZhou University Information Science and Engineering,LanZhou,China

2. Beijing Institute of Technology School of Automation,Beijing,China

3. Beijing Jiusan Youfang Co., Ltd.,Beijing,China

4. Beijing Institute of Basic Medical Sciences,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587985.pdf?arnumber=10587985

Reference12 articles.

1. Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review

2. Approaches and principles of fall detection for elderly and patient

3. Elderly Fall Detection Systems: A Literature Survey

4. A Study of Fall Detection in Assisted Living: Identifying and Improving the Optimal Machine Learning Method

5. Deep learning based fall detection using smartwatches for healthcare applications

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