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Random forest algorithms for recognizing daily life activities using plantar pressure information: a smart-shoe study
BACKGROUND: Wearable activity trackers are regarded as a new opportunity to deliver health promotion interventions. Indeed, while the prediction of active behaviors is currently primarily relying on the processing of accelerometer sensor data, the emergence of smart clothes with multi-sensing capaci...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7602692/ https://www.ncbi.nlm.nih.gov/pubmed/33194400 http://dx.doi.org/10.7717/peerj.10170 |