Supervised Machine Learning Applied to Wearable Sensor Data Can Accurately Classify Functional Fitness Exercises Within a Continuous Workout

Observing, classifying and assessing human movements is important in many applied fields, including human-computer interface, clinical assessment, activity monitoring and sports performance. The redundancy of options in planning and implementing motor programmes, the inter- and intra-individual vari...

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Detalles Bibliográficos
Autores principales: Preatoni, Ezio, Nodari, Stefano, Lopomo, Nicola Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358600/
https://www.ncbi.nlm.nih.gov/pubmed/32733863
http://dx.doi.org/10.3389/fbioe.2020.00664

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358600/
https://www.ncbi.nlm.nih.gov/pubmed/32733863
http://dx.doi.org/10.3389/fbioe.2020.00664

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