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

<p>In this paper, the dance teaching digitization process and virtual character dance movement dataset are designed, combined with the Vicon motion capture system, neural network fusion shape technology and dance movement recognition algorithm to realize dance teaching digitization. The traditional K-modes algorithm is improved from three aspects: determining the number of clustering families, the determination of the initial clustering center, and the clustering distance metric to construct a digital dance teaching quality evaluation model. After the application analysis, it was concluded that the difference between the students of the experimental group and the students of the conventional group of dance movements was P&lt;0.05, and the learning situation of the experimental group showed an upward trend, the learning enthusiasm increased by 0.21, the learning efficiency increased by 0.23, and the clustering index were higher than 0.9. Dance teaching based on digital technology can improve the quality and effect of the teaching.</p>
</abstract>

In this paper, the dance teaching digitization process and virtual character dance movement dataset are designed, combined with the Vicon motion capture system, neural network fusion shape technology and dance movement recognition algorithm to realize dance teaching digitization. The traditional K-modes algorithm is improved from three aspects: determining the number of clustering families, the determination of the initial clustering center, and the clustering distance metric to construct a digital dance teaching quality evaluation model. After the application analysis, it was concluded that the difference between the students of the experimental group and the students of the conventional group of dance movements was P<0.05, and the learning situation of the experimental group showed an upward trend, the learning enthusiasm increased by 0.21, the learning efficiency increased by 0.23, and the clustering index were higher than 0.9. Dance teaching based on digital technology can improve the quality and effect of the teaching.

A study on the application of digital technology in improving the quality and effectiveness of dance teaching

Applied Mathematics and Nonlinear Sciences

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

In this paper, the dance teaching digitization process and virtual character dance movement dataset are designed, combined with the Vicon motion capture...

A study on the application of digital technology in improving the quality and effectiveness of dance teaching

Online veröffentlicht: 21. Okt. 2023

Seitenbereich: -

Eingereicht: 12. Nov. 2022

Akzeptiert: 01. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00707

Schlüsselwörter
Vicon motion capture, Neural network fusion, Motion recognition algorithm, K-modes algorithm, Dance teaching

© 2023 Yanhui Chen et al., published by Sciendo

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

A study on the application of digital technology in improving the quality and effectiveness of dance teaching

Online veröffentlicht: 21. Okt. 2023

Seitenbereich: -

Eingereicht: 12. Nov. 2022

Akzeptiert: 01. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00707

SchlüsselwörterVicon motion capture, Neural network fusion, Motion recognition algorithm, K-modes algorithm, Dance teaching

© 2023 Yanhui Chen et al., published by Sciendo

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

Schlüsselwörter
Vicon motion capture, Neural network fusion, Motion recognition algorithm, K-modes algorithm, Dance teaching