@InProceedings{PierluigiCasale2011,
author="Pierluigi Casale
and Oriol Pujol
and Petia Radeva",
editor="Vitria, Jordi
and Sanches, Jo{\~a}o Miguel Raposo
and Hern{\'a}ndez, Mario",
title="Human Activity Recognition from Accelerometer Data using a Wearable Device",
booktitle="5th Iberian Conference on Pattern Recognition and Image Analysis",
year="2011",
publisher="Springer Berlin Heidelberg",
volume="6669",
pages="289--296",
abstract="Activity Recognition is an emerging field of research, born from the larger fields of ubiquitous computing, context-aware computing and multimedia. Recently, recognizing everyday life activities becomes one of the challenges for pervasive computing. In our work, we developed a novel wearable system easy to use and comfortable to bring. Our wearable system is based on a new set of 20 computationally efficient features and the Random Forest classifier. We obtain very encouraging results with classification accuracy of human activities recognition of up to 94\%.",
optnote="MILAB;HuPBA",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1735), last updated on Tue, 11 Mar 2014 16:33:43 +0100",
isbn="978-3-642-21256-7",
issn="0302-9743",
doi="http://dx.doi.org/10.1007/978-3-642-21257-4_36"
}