The research on dance motion quality evaluation based on spatiotemporal convolutional neural networks
With the rapid development of artificial intelligence and computer vision technology, dance action recognition and quality assessment have become a challenging and important research field. Traditional dance movement recognition methods often rely on manual feature extraction and expert scoring, whi...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-02-01
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Series: | Alexandria Engineering Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016824014509 |
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