Fusion of Skeleton and RGB Features for RGB-D Human Action Recognition-Reference-Cited by-同舟云学术

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Fusion of Skeleton and RGB Features for RGB-D Human Action Recognition

Published:2021-09-01 Issue:17 Volume:21 Page:19157-19164
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Weiyao Xu^ORCID,Muqing Wu^ORCID,Min Zhao^ORCID,Ting Xia

Funder

Higher Education Discipline Innovation Project

Director Funds of the Beijing Key Laboratory of Network System Architecture and Convergence

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/9525468/09456914.pdf?arnumber=9456914

Cited by 29 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. DFN: A deep fusion network for flexible single and multi-modal action recognition;Expert Systems with Applications;2024-07

2. Multimodal vision-based human action recognition using deep learning: a review;Artificial Intelligence Review;2024-06-19

3. Occluded Part-aware Graph Convolutional Networks for Skeleton-based Action Recognition;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Spatio‐temporal attention modules in orientation‐magnitude‐response guided multi‐stream CNNs for human action recognition;IET Image Processing;2024-04-22

5. Skeleton-RGB integrated highly similar human action prediction in human–robot collaborative assembly;Robotics and Computer-Integrated Manufacturing;2024-04

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