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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Nature Portfolio
2020
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oai:doaj.org-article:95fe338da55345338094389d0ef298de2021-12-02T18:01:50ZHuman running performance from real-world big data10.1038/s41467-020-18737-62041-1723https://doaj.org/article/95fe338da55345338094389d0ef298de2020-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-18737-6https://doaj.org/toc/2041-1723Laboratory 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.Thorsten EmigJussi PeltonenNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020) |
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Science Q Thorsten Emig Jussi Peltonen Human running performance from real-world big data |
description |
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. |
format |
article |
author |
Thorsten Emig Jussi Peltonen |
author_facet |
Thorsten Emig Jussi Peltonen |
author_sort |
Thorsten Emig |
title |
Human running performance from real-world big data |
title_short |
Human running performance from real-world big data |
title_full |
Human running performance from real-world big data |
title_fullStr |
Human running performance from real-world big data |
title_full_unstemmed |
Human running performance from real-world big data |
title_sort |
human running performance from real-world big data |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/95fe338da55345338094389d0ef298de |
work_keys_str_mv |
AT thorstenemig humanrunningperformancefromrealworldbigdata AT jussipeltonen humanrunningperformancefromrealworldbigdata |
_version_ |
1718378942305402880 |