%0 Conference Proceedings
%T Human Activity Recognition from Accelerometer Data using a Wearable Device
%A Pierluigi Casale
%A Oriol Pujol
%A Petia Radeva
%E Vitria, Jordi
%E Sanches, João Miguel Raposo
%E Hernández, Mario
%B 5th Iberian Conference on Pattern Recognition and Image Analysis
%D 2011
%V 6669
%I Springer Berlin Heidelberg
%@ 0302-9743
%@ 978-3-642-21256-7
%F Pierluigi Casale2011
%O MILAB;HuPBA
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1735), last updated on Tue, 11 Mar 2014 16:33:43 +0100
%X 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%.
%U http://dx.doi.org/10.1007/978-3-642-21257-4_36
%P 289-296