Prototype Machine Learning Algorithms from Wearable Technology to Detect Tennis Stroke and Movement Actions

This study evaluated the accuracy of tennis-specific stroke and movement event detection algorithms from a cervically mounted wearable sensor containing a triaxial accelerometer, gyroscope and magnetometer. Stroke and movement data from up to eight high-performance tennis players were captured in ma...

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Detalles Bibliográficos
Autores principales: Perri, Thomas, Reid, Machar, Murphy, Alistair, Howle, Kieran, Duffield, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699098/
https://www.ncbi.nlm.nih.gov/pubmed/36433462
http://dx.doi.org/10.3390/s22228868

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699098/
https://www.ncbi.nlm.nih.gov/pubmed/36433462
http://dx.doi.org/10.3390/s22228868

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