PT Unknown
AU Pierluigi Casale
   Oriol Pujol
   Petia Radeva
TI Human Activity Recognition from Accelerometer Data using a Wearable Device
BT 5th Iberian Conference on Pattern Recognition and Image Analysis
PY 2011
BP 289
EP 296
VL 6669
DI http://dx.doi.org/10.1007/978-3-642-21257-4_36
AB 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%.
ER