Estimating Energy Expenditure With Multiple Models Using Different Wearable Sensors.
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Where this comes from
- Record sourced from PubMed, PMID 25974959.
- Also identified by DOI 10.1109/JBHI.2015.2432911.
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Abstract
This paper presents an approach to designing a method for the estimation of human energy expenditure (EE). The approach first evaluates different sensors and their combinations. After that, multiple regression models are trained utilizing data from different sensors. The EE estimation method designed in this way was evaluated on a dataset containing a wide range of activities. It was compared against three competing state-of-the-art approaches, including the BodyMedia Fit armband, the leading consumer EE estimation device. The results show that the proposed method outperforms the competition by up to 10.2 percentage points.
Medical subject headings
- Energy Metabolism
- Machine Learning
- Models, Biological
- Monitoring, Ambulatory
- Motor Activity