Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Statistical Machine Learning for Automatic Assessment of Physical Activity Intensity Using Multi-axial Accelerometry and Heart Rate
Year:2011
Research Areas
  • Medicine,
  • Information technology and adata processing
Information
Abstract
This work explores the automatic recognition of physical activity intensity patterns from multi-axial accelerometry and heart rate signals. Data collection was carried out in free-living conditions and in three controlled gymnasium circuits, for a total amount of 179.80 h of data divided into: sedentary situations (65.5%), light-to-moderate activity (17.6%) and vigorous exercise (16.9%). The proposed machine learning algorithms comprise the following steps: time-domain feature definition, standardization and PCA projection, unsupervised clustering (by k-means and GMM) and a HMM to account for long-term temporal trends. Performance was evaluated by 30 runs of a 10-fold cross-validation. Both k-means and GMM-based approaches yielded high overall accuracy (86.97% and 85.03%, respectively) and, given the imbalance of the dataset, meritorious F-measures (up to 77.88%) for non-sedentary cases. Classification errors tended to be concentrated around transients, what constrains their practical impact. Hence, we consider our proposal to be suitable for 24 h-based monitoring of physical activity in ambulatory scenarios and a first step towards intensity-specific energy expenditure estimators
International
Si
JCR
Si
Title
Lecture Notes in Artificial Intelligence
ISBN
0302-9743
Impact factor JCR
0,302
Impact info
Datos JCR del año 2005
Volume
Journal number
From page
70
To page
79
Month
SIN MES
Ranking
Participants
  • Autor: Fernando Garcia Garcia (UPM)
  • Autor: Gema Garcia Saez (UPM)
  • Autor: Paloma Chausa Fernández (UPM)
  • Autor: Iñaki Martínez Sarriegui (UPM)
  • Autor: Pedro J. Benito
  • Autor: Enrique Javier Gomez Aguilera (UPM)
  • Autor: Maria Elena Hernando Perez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Tecnología Fotónica y Bioingeniería
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)