LogRF: An Approach to Human Pose Estimation Using Skeleton Landmarks for Physiotherapy Fitness Exercise Correction-Reference-Cited by-同舟云学术

LogRF: An Approach to Human Pose Estimation Using Skeleton Landmarks for Physiotherapy Fitness Exercise Correction

Published:2023 Issue: Volume:11 Page:107930-107939
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Raza Ali¹^ORCID,Qadri Azam Mehmood¹,Akhtar Iqra²,Samee Nagwan Abdel³^ORCID,Alabdulhafith Maali³^ORCID

Affiliation:

1. Institute of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan

2. Department of Electrical and Biomedical Engineering, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan

3. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Funder

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia, through Researchers Supporting

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/ielx7/6287639/10005208/10266356.pdf?arnumber=10266356

Reference33 articles.

1. Physiological Function Assessment Based on Kinect V2

2. Recognition of Yoga poses through an interactive system with Kinect based on confidence value

3. Yoga-82: A New Dataset for Fine-grained Classification of Human Poses

4. Posture Recognition Using Ensemble Deep Models under Various Home Environments

5. Full body pose estimation of construction equipment using computer vision and deep learning techniques

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