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Report . 2020
License: CC BY SA
Data sources: Datacite
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Report . 2020
License: CC BY SA
Data sources: ZENODO
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ZENODO
Report . 2020
License: CC BY SA
Data sources: Datacite
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Data Study Group Final Report: eGym

Authors: Data Study Group Team;

Data Study Group Final Report: eGym

Abstract

Data Study Groups are week-long events at The Alan Turing Institute bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges. Improved strength training using smart gym equipment data We were provided with information about users of specialised smart gym equipment and usage data over a period of 2 years. The brief was to explore the data and provide insight into how best to help users improve performance. Of particular interest was the link between training and increased strength (as measured by the machines). Also of interest were longitudinal usage of gym-goers, with the view of aiding adherence to the program, and the creation of a simple performance metric by which user improvement could be measured.

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Keywords

Latent variable modelling, Gym, Strength training, Prediction, The Alan Turing Institute, Data Study Groups

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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