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International Journal of Distributed Sensor Networks
Volume 2012 (2012), Article ID 758789, 15 pages
Research Article

InContexto: Multisensor Architecture to Obtain People Context from Smartphones

Group of Applied Artificial Intelligence, University Carlos III of Madrid, 28270 Colmenarejo, Spain

Received 15 July 2011; Revised 29 December 2011; Accepted 3 January 2012

Academic Editor: Mo Li

Copyright © 2012 Gonzalo Blázquez Gil et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The way users intectact with smartphones is changing after the improvements made in their embedded sensors. Increasingly, these devices are being employed as tools to observe individuals habits. Smartphones provide a great set of embedded sensors, such as accelerometer, digital compass, gyroscope, GPS, microphone, and camera. This paper aims to describe a distributed architecture, called inContexto, to recognize user context information using mobile phones. Moreover, it aims to infer physical actions performed by users such as walking, running, and still. Sensory data is collected by HTC magic application made in Android OS, and it was tested achieving about 97% of accuracy classifying five different actions (still, walking and running).