TY  - CONF
AU  - Pierluigi Casale
AU  - Oriol Pujol
AU  - Petia Radeva
A2  - IbPRIA
ED  - Vitria, Jordi
ED  - Sanches, João Miguel Raposo
ED  - Hernández, Mario
PY  - 2011//
TI  - Human Activity Recognition from Accelerometer Data using a Wearable Device
T2  - LNCS
BT  - 5th Iberian Conference on Pattern Recognition and Image Analysis
SP  - 289
EP  - 296
VL  - 6669
PB  - Springer Berlin Heidelberg
N2  - 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%.
SN  - 0302-9743
SN  - 978-3-642-21256-7
UR  - http://dx.doi.org/10.1007/978-3-642-21257-4_36
N1  - MILAB;HuPBA
ID  - Pierluigi Casale2011
ER  -