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...
Uložené v:
| Vydané v: | Applied mathematics and nonlinear sciences Ročník 10; číslo 1 |
|---|---|
| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Beirut
Sciendo
01.01.2025
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services |
| Predmet: | |
| ISSN: | 2444-8656, 2444-8656 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
Buďte prvý, kto okomentuje tento záznam!