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Machine Learning for Fatigue Detection using Fitbit Fitness Trackers

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Category

Academic chapter/article/Conference paper

Client

  • EC/H2020 / 958357
  • Research Council of Norway (RCN) / 309700
  • EC/H2020 / 958363

Language

English

Author(s)

Affiliation

  • SINTEF Digital / Sustainable Communication Technologies
  • University of Oslo
  • Gnomon Informatics

Year

2022

Publisher

SciTePress

Book

Proceedings of the 10th International Conference on Sport Sciences Research and Technology Support (icSPORTS 2022)

ISBN

978-989-758-610-1

Page(s)

41 - 52

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