Quantifying the uncertainty of human activity recognition using a Bayesian machine learning method: a prediction study
BART is a relatively novel machine learning method that can advance the incorporation of the predicted physical activity status into built environment research. Future research should evaluate the association between the environment and physical activity as predicted by BART.
Authors
- Hiroshi Mamiya (ORCID: https://orcid.org/0000-0002-5711-8558)
- Daniel Fuller (ORCID: https://orcid.org/0000-0002-2015-2955)
Institutions
- University of Saskatchewan (CA)
- McGill University (CA)
Publication Details
- Journal
- Physical Activity and Nutrition
- Published
- 2025-09-30
- DOI
- https://doi.org/10.20463/pan.2025.0020
- Primary Topic
- Physical Activity and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00