Depth Sensors-Based Action Recognition Using a Modified K-Ary Entropy Classifier-Reference-Cited by-同舟云学术

Depth Sensors-Based Action Recognition Using a Modified K-Ary Entropy Classifier

Published:2023 Issue: Volume:11 Page:58578-58595
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Batool Mouazma¹,Alotaibi Saud S.²^ORCID,Alatiyyah Mohammed Hamad³^ORCID,Alnowaiser Khaled⁴^ORCID,Aljuaid Hanan⁵^ORCID,Jalal Ahmad¹,Park Jeongmin⁶^ORCID

Affiliation:

1. Department of Computer Science, Air University, Islamabad, Pakistan

2. Information Systems Department, Umm Al-Qura University, Makkah, Saudi Arabia

3. Department of Computer Science, College of Sciences and Humanities in Aflaj, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

4. Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

5. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia

6. Department of Computer Engineering, Tech University of Korea, Siheung-si, South Korea

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/ielx7/6287639/10005208/10078267.pdf?arnumber=10078267

Reference77 articles.

1. RGB-D Action Recognition Using Multimodal Correlative Representation Learning Model

2. A Closer Look at Spatiotemporal Convolutions for Action Recognition

3. Boosting Inertial-Based Human Activity Recognition With Transformers

4. Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition

5. Semantic Recognition of Human-Object Interactions via Gaussian-Based Elliptical Modeling and Pixel-Level Labeling

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