Abstract
In this paper, a flat fuzzy logic system (FLS) and a hierarchical fuzzy system (HFS) were created to assess daily physical activity levels from Fitbit-derived measures of steps and activity intensity. The results from the initial evaluation revealed that in some cases the output produced by the HFS is substantially different from the FLS output. Preliminary work on how the output from the HFS and FLS can be made identical, by manually tuning the FLS rule base, is presented.
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Chaudhry, F.A., Garibaldi, J.M., Qureshi, N. (2022). Creating a Hierarchical Fuzzy System to Assess Physical Activity Levels from Fitbit Data. In: Jansen, T., Jensen, R., Mac Parthaláin, N., Lin, CM. (eds) Advances in Computational Intelligence Systems. UKCI 2021. Advances in Intelligent Systems and Computing, vol 1409. Springer, Cham. https://doi.org/10.1007/978-3-030-87094-2_29
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DOI: https://doi.org/10.1007/978-3-030-87094-2_29
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