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

<p>In this paper, we propose an improved 3D modeling method based on RecurDyn dynamics Theory to address the poor efficiency of traditional modeling techniques in dance dynamics tracking. Solid manipulation of the virtual scene is realized by geometric transformation, and singular value decomposition is applied to solve the transformation. Simulation experiments were designed to explore the tracking effect. When the MS moves at a more significant speed, the larger the Doppler frequency corresponding to the dynamic tracking and choreography technique of modern dance, the more rapidly the channel changes, and the more quickly the channel correlation decreases, such as when the MS moves at a speed of 13m/s and the correlation coefficient drops to 0.1, which corresponds to the number of sampling points within 6. From the Analysis of the ablation experiments, the errors of the three models are reduced by 9.6%, 11.2%, and 5.9%, respectively. From the first qualitative test analysis, frames 1-13 should be less spatial and 14-24 should be more spatial. From the Analysis of the first qualitative test, according to the numerical value, the average moving speed of the arm in the 53rd-68th frames is the largest, and the average moving speed of the arm in the 87th-100th frames is the smallest. Therefore, the improved algorithm can be accurately applied to modern dance dynamic tracking and choreography techniques.</p>
</abstract>

In this paper, we propose an improved 3D modeling method based on RecurDyn dynamics Theory to address the poor efficiency of traditional modeling techniques in dance dynamics tracking. Solid manipulation of the virtual scene is realized by geometric transformation, and singular value decomposition is applied to solve the transformation. Simulation experiments were designed to explore the tracking effect. When the MS moves at a more significant speed, the larger the Doppler frequency corresponding to the dynamic tracking and choreography technique of modern dance, the more rapidly the channel changes, and the more quickly the channel correlation decreases, such as when the MS moves at a speed of 13m/s and the correlation coefficient drops to 0.1, which corresponds to the number of sampling points within 6. From the Analysis of the ablation experiments, the errors of the three models are reduced by 9.6%, 11.2%, and 5.9%, respectively. From the first qualitative test analysis, frames 1-13 should be less spatial and 14-24 should be more spatial. From the Analysis of the first qualitative test, according to the numerical value, the average moving speed of the arm in the 53rd-68th frames is the largest, and the average moving speed of the arm in the 87th-100th frames is the smallest. Therefore, the improved algorithm can be accurately applied to modern dance dynamic tracking and choreography techniques.

Research on Dynamic Tracking and Choreographic Techniques of Modern Dance Based on Computer 3D Modeling Technology

Applied Mathematics and Nonlinear Sciences

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

In this paper, we propose an improved 3D modeling method based on RecurDyn dynamics Theory to address the poor efficiency of traditional modeling techniques in...

Research on Dynamic Tracking and Choreographic Techniques of Modern Dance Based on Computer 3D Modeling Technology

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 10. Jan. 2024

Akzeptiert: 19. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0453

Schlüsselwörter
3D modeling techniques, Modern dance, RecurDyn dynamics, Dynamic tracking, Singular value decomposition

© 2024 Fei Hao, published by Sciendo

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

Research on Dynamic Tracking and Choreographic Techniques of Modern Dance Based on Computer 3D Modeling Technology

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 10. Jan. 2024

Akzeptiert: 19. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0453

Schlüsselwörter3D modeling techniques, Modern dance, RecurDyn dynamics, Dynamic tracking, Singular value decomposition

© 2024 Fei Hao, published by Sciendo

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

Schlüsselwörter
3D modeling techniques, Modern dance, RecurDyn dynamics, Dynamic tracking, Singular value decomposition