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Research on Skeleton Data Compensation of Gymnastics based on Dynamic and Static Two-dimensional Regression using Kinect Cover

Research on Skeleton Data Compensation of Gymnastics based on Dynamic and Static Two-dimensional Regression using Kinect

Measurement Science Review
Volume 22 (2022): Issue 6 (December 2022)
By: Gang Zhao,  Hui Zan and  Junhong Chen  
Open Access
|Oct 2022

Authors

Gang Zhao

zhaogang@ccnu.edu.cn

Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China

Hui Zan

zanhui@zjnu.cn

Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China
Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China

Junhong Chen

College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China
DOI: https://doi.org/10.2478/msr-2022-0036 | Journal eISSN: 1335-8871
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Language: English
Page range: 283 - 292
Submitted on: Dec 12, 2021
|
Accepted on: May 30, 2022
|
Published on: Oct 13, 2022
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Azure Kinect,
motion capture,
motion tracking,
motion compensation
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2022 Gang Zhao, Hui Zan, Junhong Chen, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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