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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| Published in: | Applied mathematics and nonlinear sciences Vol. 10; no. 1 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Beirut
Sciendo
01.01.2025
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services |
| Subjects: | |
| ISSN: | 2444-8656, 2444-8656 |
| Online Access: | Get full text |
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