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Fourteen days free-living evaluation of an open-source algorithm for counting steps in healthy adults with a large variation in physical activity level.

Ivar HolmJonatan FridolfssonMats BörjessonDaniel Arvidsson
Published in: BMC biomedical engineering (2023)
The open-source algorithm captures steps fairly well in low-medium active individuals when comparing with Yamax pedometer, but did not show satisfactory results in more active individuals, indicating that it must be modified before implemented in population research. The AL algorithm without the low frequency extension measures similar number of steps as Yamax in free-living and is a useful alternative before a valid open-source algorithm is available.
Keyphrases
  • machine learning
  • deep learning
  • physical activity
  • neural network
  • body mass index