Applying Deep Learning Networks to Identify Optimized Paths in Gymnastic Movement Techniques

The study adopts the OpenPose algorithm in deep learning to extract and recognize gymnastics movements, and it initially constructs the OpenPose gymnastics movement recognition model. The MobileNet-V3 network is introduced to replace VGG-19, which was the feature extraction network in the original m...

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Veröffentlicht in:	Applied mathematics and nonlinear sciences Jg. 10; H. 1
Hauptverfasser:	Mo, Dan, Wang, Yintong, Zhang, Bowen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Beirut Sciendo 01.01.2025 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Schlagworte:	68T07 Accuracy Algorithms Deep learning Gymnastics Gymnastics action recognition MobileNet-V3 network OpenPose algorithm
ISSN:	2444-8656, 2444-8656
Online-Zugang:	Volltext
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