Improving Fall Detection Systems Performance via Skeleton Topology Selection by using Graph Convolution Neural Networks-Reference-Cited by-同舟云学术

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Improving Fall Detection Systems Performance via Skeleton Topology Selection by using Graph Convolution Neural Networks

Published:2024-06-24 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 IEEE 30th International Conference on Telecommunications (ICT)
language:
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Author:

Alsawadi Motasem S.¹,Almarshed Saleh A¹

Affiliation:

1. Institute of Next Generation Connectivity King Abdulaziz City for Science and Technology (KACST),Riyadh,Saudi Arabia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10606101/10606018/10606132.pdf?arnumber=10606132

Reference24 articles.

1. Efficient skeleton extraction for real-time human action recognition;Li;Journal of Computational Vision,2024

2. Skeleton Split Strategies for Spatial Temporal Graph Convolution Networks

3. Robust human action recognition with skeletal data: A review;Duan;IEEE Transactions on Pattern Analysis and Machine Intelligence,2022

4. Skeleton-based action recognition using graph convolutional networks;Li;IEEE Transactions on Multimedia,2019

5. Dynamic graph neural networks for action recognition;Yu;Journal of Machine Learning Research,2020

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