Research on Multiperson Motion Capture System Combining Target Positioning and Inertial Attitude Sensing Technology

The purpose of this study is to solve the problems of multiple targets, poor accuracy, and inability to obtain displacement information in motion capture. Based on fusion target positioning and inertial attitude sensing technology, Unity3D is employed to create 3D scenes and 3D human body models to...

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Autores principales:	Yifei Wang, Yongsheng Wang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/cf4a25274a4e4760adb62d1913545d8a
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spelling	oai:doaj.org-article:cf4a25274a4e4760adb62d1913545d8a2021-11-08T02:35:34ZResearch on Multiperson Motion Capture System Combining Target Positioning and Inertial Attitude Sensing Technology1875-919X10.1155/2021/6808521https://doaj.org/article/cf4a25274a4e4760adb62d1913545d8a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6808521https://doaj.org/toc/1875-919XThe purpose of this study is to solve the problems of multiple targets, poor accuracy, and inability to obtain displacement information in motion capture. Based on fusion target positioning and inertial attitude sensing technology, Unity3D is employed to create 3D scenes and 3D human body models to read real-time raw data from inertial sensors. Furthermore, a gesture fusion algorithm is used to process the raw data in real time to generate a quaternion, and a human motion capture system is designed based on inertial sensors for the complete movement information recording of the capture target. Results demonstrate that the developed system can accurately capture multiple moving targets and provide a higher recognition rate, reaching 75%∼100%. The maximum error of the system adopting the fusion target positioning algorithm is 10 cm, a reduction of 71.24% compared with that not using the fusion algorithm. The movements of different body parts are analyzed through example data. The recognition efficiency of “wave,” “crossover,” “pick things up,” “walk,” and “squat down” is as high as 100%. Hence, the proposed multiperson motion capture system that combines target positioning and inertial attitude sensing technology can provide better performance. The results are of great significance to promote the development of industries such as animation, medical care, games, and sports training.Yifei WangYongsheng WangHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer software QA76.75-76.765
spellingShingle	Computer software QA76.75-76.765 Yifei Wang Yongsheng Wang Research on Multiperson Motion Capture System Combining Target Positioning and Inertial Attitude Sensing Technology
description	The purpose of this study is to solve the problems of multiple targets, poor accuracy, and inability to obtain displacement information in motion capture. Based on fusion target positioning and inertial attitude sensing technology, Unity3D is employed to create 3D scenes and 3D human body models to read real-time raw data from inertial sensors. Furthermore, a gesture fusion algorithm is used to process the raw data in real time to generate a quaternion, and a human motion capture system is designed based on inertial sensors for the complete movement information recording of the capture target. Results demonstrate that the developed system can accurately capture multiple moving targets and provide a higher recognition rate, reaching 75%∼100%. The maximum error of the system adopting the fusion target positioning algorithm is 10 cm, a reduction of 71.24% compared with that not using the fusion algorithm. The movements of different body parts are analyzed through example data. The recognition efficiency of “wave,” “crossover,” “pick things up,” “walk,” and “squat down” is as high as 100%. Hence, the proposed multiperson motion capture system that combines target positioning and inertial attitude sensing technology can provide better performance. The results are of great significance to promote the development of industries such as animation, medical care, games, and sports training.
format	article
author	Yifei Wang Yongsheng Wang
author_facet	Yifei Wang Yongsheng Wang
author_sort	Yifei Wang
title	Research on Multiperson Motion Capture System Combining Target Positioning and Inertial Attitude Sensing Technology
title_short	Research on Multiperson Motion Capture System Combining Target Positioning and Inertial Attitude Sensing Technology
title_full	Research on Multiperson Motion Capture System Combining Target Positioning and Inertial Attitude Sensing Technology
title_fullStr	Research on Multiperson Motion Capture System Combining Target Positioning and Inertial Attitude Sensing Technology
title_full_unstemmed	Research on Multiperson Motion Capture System Combining Target Positioning and Inertial Attitude Sensing Technology
title_sort	research on multiperson motion capture system combining target positioning and inertial attitude sensing technology
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/cf4a25274a4e4760adb62d1913545d8a
work_keys_str_mv	AT yifeiwang researchonmultipersonmotioncapturesystemcombiningtargetpositioningandinertialattitudesensingtechnology AT yongshengwang researchonmultipersonmotioncapturesystemcombiningtargetpositioningandinertialattitudesensingtechnology
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Research on Multiperson Motion Capture System Combining Target Positioning and Inertial Attitude Sensing Technology

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