Application of deep learning in automatic detection of technical and tactical indicators of table tennis

A DCNN-LSTM (Deep Convolutional Neural Network-Long Short Term Memory) model is proposed to recognize and track table tennis’s real-time trajectory in complex environments, aiming to help the audiences understand competition details and provide a reference for training enthusiasts using computers. R...

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Detalles Bibliográficos
Autor principal: Qiao, Fufeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943021/
https://www.ncbi.nlm.nih.gov/pubmed/33690619
http://dx.doi.org/10.1371/journal.pone.0245259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943021/
https://www.ncbi.nlm.nih.gov/pubmed/33690619
http://dx.doi.org/10.1371/journal.pone.0245259

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