Visual language transformer framework for multimodal dance performance evaluation and progression monitoring

Dance is often perceived as complex due to the need for coordinating multiple body movements and precisely aligning them with musical rhythm and content. Research in automatic dance performance assessment has the potential to enhance individuals’ sensorimotor skills and motion analysis. Recent studi...

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Bibliographic Details
Published in:	Scientific reports Vol. 15; no. 1; pp. 30649 - 22
Main Author:	Chen, Lei
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 20.08.2025 Nature Publishing Group Nature Portfolio
Subjects:	639/705/1042 639/705/117 639/705/258 639/705/794 Adaptability Choreography Classification Dance Dance performance monitoring Dancers & choreographers Dancing - physiology Deep learning Genre Graph convolutional network Humanities and Social Sciences Humans Language Learning Literature reviews Long short-term memory Methods multidisciplinary Multimedia Multimodal analysis Music Neural Networks, Computer Performance assessment Performance evaluation Psychomotor Performance Rhythm Science Science (multidisciplinary) Sensorimotor system Synchronization Transformer Deep learning Multimodal analysis Graph convolutional network Transformer Dance performance monitoring
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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