Methods of determining indicators of similarity of 3D motion

Methods of determining indicators of similarity of 3D motion

This paper includes methods for comparing three-dimensional movements with data saved in a C3D file usingPearson's linear correlation algorithms and a mean-quadratic error. Their accuracy was also examined. The movements of a person rowing on an ergometer at a distance of 500 meters were recor...

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Bibliographic Details
Main Authors: Piotr Flisiak, Marcin Kuszyk
Format: Article
Language:English
Published: Lublin University of Technology 2020-03-01
Series:Journal of Computer Sciences Institute
Subjects:
Comparing moves; Three-dimensional movement; Movement similarity algorithms
Online Access:https://ph.pollub.pl/index.php/jcsi/article/view/1576
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spelling doaj-7d2ff08674e04967b5e4f6b2c3a44b482020-11-25T04:03:58ZengLublin University of TechnologyJournal of Computer Sciences Institute2544-07642020-03-011410.35784/jcsi.1576Methods of determining indicators of similarity of 3D motionPiotr Flisiak0Marcin Kuszyk1Lublin University of TechnologyLublin University of Technology This paper includes methods for comparing three-dimensional movements with data saved in a C3D file usingPearson's linear correlation algorithms and a mean-quadratic error. Their accuracy was also examined. The movements of a person rowing on an ergometer at a distance of 500 meters were recorded by motion acquisition technology. The article presents the created application used for analysis. https://ph.pollub.pl/index.php/jcsi/article/view/1576Comparing moves; Three-dimensional movement; Movement similarity algorithms
collection DOAJ
language English
format Article
sources DOAJ
author Piotr Flisiak
Marcin Kuszyk
spellingShingle Piotr Flisiak
Marcin Kuszyk
Methods of determining indicators of similarity of 3D motion
Journal of Computer Sciences Institute
Comparing moves; Three-dimensional movement; Movement similarity algorithms
author_facet Piotr Flisiak
Marcin Kuszyk
author_sort Piotr Flisiak
title Methods of determining indicators of similarity of 3D motion
title_short Methods of determining indicators of similarity of 3D motion
title_full Methods of determining indicators of similarity of 3D motion
title_fullStr Methods of determining indicators of similarity of 3D motion
title_full_unstemmed Methods of determining indicators of similarity of 3D motion
title_sort methods of determining indicators of similarity of 3d motion
publisher Lublin University of Technology
series Journal of Computer Sciences Institute
issn 2544-0764
publishDate 2020-03-01
description This paper includes methods for comparing three-dimensional movements with data saved in a C3D file usingPearson's linear correlation algorithms and a mean-quadratic error. Their accuracy was also examined. The movements of a person rowing on an ergometer at a distance of 500 meters were recorded by motion acquisition technology. The article presents the created application used for analysis.
topic Comparing moves; Three-dimensional movement; Movement similarity algorithms
url https://ph.pollub.pl/index.php/jcsi/article/view/1576
work_keys_str_mv AT piotrflisiak methodsofdeterminingindicatorsofsimilarityof3dmotion
AT marcinkuszyk methodsofdeterminingindicatorsofsimilarityof3dmotion
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