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Application of machine learning to predict transport modes from GPS, accelerometer, and heart rate data
BACKGROUND: There has been an increased focus on active transport, but the measurement of active transport is still difficult and error-prone. Sensor data have been used to predict active transport. While heart rate data have very rarely been considered before, this study used random forests (RF) to...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667683/ https://www.ncbi.nlm.nih.gov/pubmed/36384535 http://dx.doi.org/10.1186/s12942-022-00319-y |