Spatial–Temporal Dynamic Graph Attention Network for Skeleton-Based Action Recognition-Reference-Cited by-同舟云学术

Spatial–Temporal Dynamic Graph Attention Network for Skeleton-Based Action Recognition

Published:2023 Issue: Volume:11 Page:21546-21553
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Rahevar Mrugendrasinh¹^ORCID,Ganatra Amit²,Saba Tanzila³^ORCID,Rehman Amjad³^ORCID,Bahaj Saeed Ali⁴^ORCID

Affiliation:

1. Chandubhai S. Patel Institute of Technology, Charotar University of Science and Technology, Changa, Anand, Gujarat, India

2. Parul University, Wagodhiya, Gujarat, India

3. Artificial Intelligence and Data Analytics Laboratory (AIDA), College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia

4. MIS Department, College of Business Administration, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia

Funder

Artificial Intelligence and Data Analytics (AIDA) Laboratory, College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10049987.pdf?arnumber=10049987

Reference55 articles.

1. Skeleton-Aided Articulated Motion Generation

2. Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition

3. Human action recognition using a temporal hierarchy of covariance descriptors on 3D joint locations;hussein;Proc 23rd Int Joint Conf Artif Intell,2013

4. Skeleton based action recognition with convolutional neural network

5. Skeleton-Based Action Recognition With Shift Graph Convolutional Network

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