Fatigue-Related and Timescale-Dependent Changes in Individual Movement Patterns Identified Using Support Vector Machine

The scientific and practical fields—especially high-performance sports—increasingly request a stronger focus be placed on individual athletes in human movement science research. Machine learning methods have shown efficacy in this context by identifying the unique movement patterns of individuals an...

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Detalles Bibliográficos
Autores principales: Burdack, Johannes, Horst, Fabian, Aragonés, Daniel, Eekhoff, Alexander, Schöllhorn, Wolfgang Immanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554555/
https://www.ncbi.nlm.nih.gov/pubmed/33101124
http://dx.doi.org/10.3389/fpsyg.2020.551548

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554555/
https://www.ncbi.nlm.nih.gov/pubmed/33101124
http://dx.doi.org/10.3389/fpsyg.2020.551548

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