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.

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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
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article

Quantifying the uncertainty of human activity recognition using a Bayesian machine learning method: a prediction study

Hiroshi Mamiya, Daniel Fuller
Physical Activity and Nutrition
Physical Activity and Health
article

Quantifying the uncertainty of human activity recognition using a Bayesian machine learning method: a prediction study

Hiroshi Mamiya, Daniel Fuller
article en

Abstract

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.

Physical Activity and NutritionVol. 29(3)
University of Saskatchewan (CA), McGill University (CA)
Openalex Percentile: Top 64%
Physical Activity and Health
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