Research on aerobics training posture motion capture based on mathematical similarity matching statistical analysis
Aiming at the freely editable characteristics of human motion posture, a human skeleton model is extracted, and a human motion posture model library is established. The application of motion capture system in dance training is analysed, and a method based on similarity matching between feature plane...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Sciendo
2021-11-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2021.2.00055 |
| _version_ | 1797258380750880768 |
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| author | Chen Qiuju Alsemmeari Rayan Atteah |
| author_facet | Chen Qiuju Alsemmeari Rayan Atteah |
| author_sort | Chen Qiuju |
| collection | DOAJ |
| description | Aiming at the freely editable characteristics of human motion posture, a human skeleton model is extracted, and a human motion posture model library is established. The application of motion capture system in dance training is analysed, and a method based on similarity matching between feature planes is proposed to calculate each model. Parameters of motion data between parts are obtained. After verification, the method has high accuracy and robustness for the analysis of human poses so that dancers can accurately compare the differences with standard dance movements and provide theoretical support for dancers to perform scientific dance training. |
| first_indexed | 2024-03-13T04:41:25Z |
| format | Article |
| id | doaj.art-723e75fc5ded4dada82322c19619c3a9 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-04-24T22:52:37Z |
| publishDate | 2021-11-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-723e75fc5ded4dada82322c19619c3a92024-03-18T10:29:01ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562021-11-017220321610.2478/amns.2021.2.00055Research on aerobics training posture motion capture based on mathematical similarity matching statistical analysisChen Qiuju0Alsemmeari Rayan Atteah1Hainan College of Economics and Business, HaikouHainan, 571127, ChinaDepartment of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi ArabiaAiming at the freely editable characteristics of human motion posture, a human skeleton model is extracted, and a human motion posture model library is established. The application of motion capture system in dance training is analysed, and a method based on similarity matching between feature planes is proposed to calculate each model. Parameters of motion data between parts are obtained. After verification, the method has high accuracy and robustness for the analysis of human poses so that dancers can accurately compare the differences with standard dance movements and provide theoretical support for dancers to perform scientific dance training.https://doi.org/10.2478/amns.2021.2.00055motion capturefree editingskeleton modelfeature planesimilarity matchingpose analysisscientific training34a34 |
| spellingShingle | Chen Qiuju Alsemmeari Rayan Atteah Research on aerobics training posture motion capture based on mathematical similarity matching statistical analysis Applied Mathematics and Nonlinear Sciences motion capture free editing skeleton model feature plane similarity matching pose analysis scientific training 34a34 |
| title | Research on aerobics training posture motion capture based on mathematical similarity matching statistical analysis |
| title_full | Research on aerobics training posture motion capture based on mathematical similarity matching statistical analysis |
| title_fullStr | Research on aerobics training posture motion capture based on mathematical similarity matching statistical analysis |
| title_full_unstemmed | Research on aerobics training posture motion capture based on mathematical similarity matching statistical analysis |
| title_short | Research on aerobics training posture motion capture based on mathematical similarity matching statistical analysis |
| title_sort | research on aerobics training posture motion capture based on mathematical similarity matching statistical analysis |
| topic | motion capture free editing skeleton model feature plane similarity matching pose analysis scientific training 34a34 |
| url | https://doi.org/10.2478/amns.2021.2.00055 |
| work_keys_str_mv | AT chenqiuju researchonaerobicstrainingposturemotioncapturebasedonmathematicalsimilaritymatchingstatisticalanalysis AT alsemmearirayanatteah researchonaerobicstrainingposturemotioncapturebasedonmathematicalsimilaritymatchingstatisticalanalysis |