Human running performance from real-world big data

Laboratory performance tests provide the gold standard for running performance but do not reflect real running conditions. Here the authors use a large, real world dataset obtained from wearable exercise trackers to extract parameters that accurately predict race times and correlate with training.

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Detalles Bibliográficos
Autores principales: Thorsten Emig, Jussi Peltonen
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Q
Acceso en línea:https://doaj.org/article/95fe338da55345338094389d0ef298de
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