An Exploration of Machine-Learning Estimation of Ground Reaction Force from Wearable Sensor Data

This study aimed to develop a wearable sensor system, using machine-learning models, capable of accurately estimating peak ground reaction force (GRF) during ballet jumps in the field. Female dancers (n = 30) performed a series of bilateral and unilateral ballet jumps. Dancers wore six ActiGraph Lin...

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Detalles Bibliográficos
Autores principales: Hendry, Danica, Leadbetter, Ryan, McKee, Kristoffer, Hopper, Luke, Wild, Catherine, O’Sullivan, Peter, Straker, Leon, Campbell, Amity
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038404/
https://www.ncbi.nlm.nih.gov/pubmed/32013212
http://dx.doi.org/10.3390/s20030740

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038404/
https://www.ncbi.nlm.nih.gov/pubmed/32013212
http://dx.doi.org/10.3390/s20030740

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