| Autor: |
Bai Wen |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2444-8656 |
| DOI: |
10.2478/amns-2024-1629 |
| Popis: |
This paper utilizes MPEG4 technology to design an interactive multimedia system and applies the system to instruct young children’s dance movements and techniques in their dance learning. The implementation process of the system is to use a multi-layer neural network to establish a coarse estimation method of dance posture, and then through the root node deep regression network to deeply estimate and analyze the 2D posture of young children in the process of dance. Finally, the multi-feature fusion module is used to fuse the skeletal points and key point features of the body to analyze the 3D posture of young children during the dance. After testing the recognition effect of the system and analyzing the application effect of the interactive multimedia system, the overall movement completion time of the spiral dance in the experimental group was significantly reduced, and the time required for the rotational movement in the dance was also reduced from the initial 1.22 s to 0.899 s. There were significant differences in the levels of artistic creativity in all dimensions of artistic creativity before and after the application of the interactive multimedia system (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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