xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning

With tracking systems becoming more widespread in sports research and regular training and competitions, more data are available for sports analytics and performance prediction. We analyzed 2523 ski jumps from 205 athletes on five venues. For every jump, the dataset includes the 3D trajectory, 3D ve...

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Detalles Bibliográficos
Autores principales: Link, Johannes, Schwinn, Leo, Pulsmeyer, Falk, Kautz, Thomas, Eskofier, Bjoern M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657424/
https://www.ncbi.nlm.nih.gov/pubmed/36366174
http://dx.doi.org/10.3390/s22218474

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657424/
https://www.ncbi.nlm.nih.gov/pubmed/36366174
http://dx.doi.org/10.3390/s22218474

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