Pilot Study of Embedded IMU Sensors and Machine Learning Algorithms for Automated Ice Hockey Stick Fitting

The aims of this study were to evaluate the feasibility of using IMU sensors and machine learning algorithms for the instantaneous fitting of ice hockey sticks. Ten experienced hockey players performed 80 shots using four sticks of differing constructions (i.e., each stick differed in stiffness, bla...

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Detalles Bibliográficos
Autores principales: Léger, Taylor, Renaud, Philippe J., Robbins, Shawn M., Pearsall, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105185/
https://www.ncbi.nlm.nih.gov/pubmed/35591104
http://dx.doi.org/10.3390/s22093419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105185/
https://www.ncbi.nlm.nih.gov/pubmed/35591104
http://dx.doi.org/10.3390/s22093419

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