Improving Activity Monitoring Through a Hierarchical Approach

Xavier Rafael-Palou, Eloisa Vargiu, Guillem Serra, Felip Miralles


Performance of sensor-based telemonitoring and home support systems depends, among other characteristics, on the reliability of the adopted sensors. Although binary sensors are quite used in the literature and also in commercial solutions to identify user’s activities, they are prone to noise and errors. In this paper, we present a hierarchical approach, based on machine learning techniques, aimed at reducing error from the sensors. The proposed approach is aimed at improving the classification accuracy in detecting if a user is at home, away, alone or with some visits. It has been integrated in a sensor-based telemonitoring and home support system. Results show an overall improvement of 15% in accuracy with respect to a rule-based approach. The system is part of the BackHome project and is currently running in 2-healthy-users’ home in Barcelona and in 3-end-users’ home in Belfast.


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Paper Citation

in Harvard Style

Rafael-Palou X., Vargiu E., Serra G. and Miralles F. (2015). Improving Activity Monitoring Through a Hierarchical Approach . In Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell, ISBN 978-989-758-102-1, pages 159-168. DOI: 10.5220/0005437701590168

in Bibtex Style

author={Xavier Rafael-Palou and Eloisa Vargiu and Guillem Serra and Felip Miralles},
title={Improving Activity Monitoring Through a Hierarchical Approach},
booktitle={Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell,},

in EndNote Style

JO - Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell,
TI - Improving Activity Monitoring Through a Hierarchical Approach
SN - 978-989-758-102-1
AU - Rafael-Palou X.
AU - Vargiu E.
AU - Serra G.
AU - Miralles F.
PY - 2015
SP - 159
EP - 168
DO - 10.5220/0005437701590168