Cargando…
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions
BACKGROUND: Assessment of health benefits associated with physical activity depend on the activity duration, intensity and frequency, therefore their correct identification is very valuable and important in epidemiological and clinical studies. The aims of this study are: to develop an algorithm for...
Autores principales: | Zdravevski, Eftim, Risteska Stojkoska, Biljana, Standl, Marie, Schulz, Holger |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589162/ https://www.ncbi.nlm.nih.gov/pubmed/28880923 http://dx.doi.org/10.1371/journal.pone.0184216 |
Ejemplares similares
-
Nodes Localization in 3D Wireless Sensor Networks Based on Multidimensional Scaling Algorithm
por: Risteska Stojkoska, Biljana
Publicado: (2014) -
Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data
por: Pires, Ivan Miguel, et al.
Publicado: (2022) -
Activities of daily living with motion: A dataset with accelerometer, magnetometer and gyroscope data from mobile devices
por: Pires, Ivan Miguel, et al.
Publicado: (2020) -
A Comprehensive Review of Methods and Equipment for Aiding Automatic Glaucoma Tracking
por: Camara, José, et al.
Publicado: (2022) -
Advancing methods in big data capture, integration, classification and liberation
por: Zdravevski, Eftim, et al.
Publicado: (2023)