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A Lean and Performant Hierarchical Model for Human Activity Recognition Using Body-Mounted Sensors
Here we propose a new machine learning algorithm for classification of human activities by means of accelerometer and gyroscope signals. Based on a novel hierarchical system of logistic regression classifiers and a relatively small set of features extracted from the filtered signals, the proposed al...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308842/ https://www.ncbi.nlm.nih.gov/pubmed/32486068 http://dx.doi.org/10.3390/s20113090 |