<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

Research on aerobics training posture motion capture based on mathematical similarity matching statistical analysis

Department of Information Technology, Faculty of Computing and Information Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Aiming at the freely editable characteristics of human motion posture, a human skeleton model is extracted, and a human motion posture model library is...

Research on aerobics training posture motion capture based on mathematical similarity matching statistical analysis

Online veröffentlicht: 22. Nov. 2021

Seitenbereich: 203 - 216

Eingereicht: 17. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00055

Schlüsselwörter
motion capture, free editing, skeleton model, feature plane, similarity matching, pose analysis, scientific training

© 2021 Qiuju Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on aerobics training posture motion capture based on mathematical similarity matching statistical analysis

Online veröffentlicht: 22. Nov. 2021

Seitenbereich: 203 - 216

Eingereicht: 17. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00055

Schlüsselwörtermotion capture, free editing, skeleton model, feature plane, similarity matching, pose analysis, scientific training

© 2021 Qiuju Chen et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
motion capture, free editing, skeleton model, feature plane, similarity matching, pose analysis, scientific training