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<p>In order to verify the effectiveness and feasibility of the combination of motion capture technology and teaching, based on dance teaching, this paper proposes a dance posture analysis method based on feature vector matching and applies it to dance teaching.. The main research work includes the following: (1) according to the characteristics of human motion poses-free editing, extracting human skeleton models, establishing a human motion model database, analysing the application of motion capture systems in dance training, and proposing a method of feature plane similarity matching to calculate model components and motion parameters. After verification, the method has high accuracy and robustness for the analysis of human posture, so that dancers can accurately compare the differences with standard dance movements, and provide theoretical support for scientific dance training. (2) Aiming at the complexity of learning dance, a dance teaching method based on motion capture technology is proposed. Using motion capture technology, a whole complex dance movement is decomposed into many small segments to make a teaching animation, which guides students to learn based on small dance movement. Imitation makes the abstract theory vivid, intuitive and easy to understand, which is conducive for the innovation of education and teaching methods.</p>
</abstract>

In order to verify the effectiveness and feasibility of the combination of motion capture technology and teaching, based on dance teaching, this paper proposes a dance posture analysis method based on feature vector matching and applies it to dance teaching.. The main research work includes the following: (1) according to the characteristics of human motion poses-free editing, extracting human skeleton models, establishing a human motion model database, analysing the application of motion capture systems in dance training, and proposing a method of feature plane similarity matching to calculate model components and motion parameters. After verification, the method has high accuracy and robustness for the analysis of human posture, so that dancers can accurately compare the differences with standard dance movements, and provide theoretical support for scientific dance training. (2) Aiming at the complexity of learning dance, a dance teaching method based on motion capture technology is proposed. Using motion capture technology, a whole complex dance movement is decomposed into many small segments to make a teaching animation, which guides students to learn based on small dance movement. Imitation makes the abstract theory vivid, intuitive and easy to understand, which is conducive for the innovation of education and teaching methods.

Research on motion capture of dance training pose based on statistical analysis of mathematical similarity matching

Department of Information Systems, Faculty of Computing and Information Technology

Applied Mathematics and Nonlinear Sciences

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

In order to verify the effectiveness and feasibility of the combination of motion capture technology and teaching, based on dance teaching, this paper proposes...

Research on motion capture of dance training pose based on statistical analysis of mathematical similarity matching

Online veröffentlicht: 22. Nov. 2021

Seitenbereich: 127 - 138

Eingereicht: 17. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00053

Schlüsselwörter
posture analysis, motion capture, feature plane, similarity matching, dance teaching

© 2021 Qingwen Chen et al., published by Sciendo

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

Research on motion capture of dance training pose based on statistical analysis of mathematical similarity matching

Online veröffentlicht: 22. Nov. 2021

Seitenbereich: 127 - 138

Eingereicht: 17. Juni 2021

Akzeptiert: 24. Sept. 2021

DOI: https://doi.org/10.2478/amns.2021.2.00053

Schlüsselwörterposture analysis, motion capture, feature plane, similarity matching, dance teaching

© 2021 Qingwen Chen et al., published by Sciendo

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

Schlüsselwörter
posture analysis, motion capture, feature plane, similarity matching, dance teaching