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...

Descripción completa

Detalles Bibliográficos
Autores principales: Debache, Isaac, Jeantet, Lorène, Chevallier, Damien, Bergouignan, Audrey, Sueur, Cédric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308842/
https://www.ncbi.nlm.nih.gov/pubmed/32486068
http://dx.doi.org/10.3390/s20113090

Ejemplares similares