TY  - JOUR
ID  - RoggenFET2011
T1  - Activity Recognition in Opportunistic Sensor Environments
A1  - Roggen, Daniel
A1  - Calatroni, Alberto
A1  - Förster, Kilian
A1  - Tröster, Gerhard
A1  - Lukowicz, Paul
A1  - Bannach, David
A1  - Ferscha, Alois
A1  - Kurz, Marc
A1  - Hölzl, Gerold
A1  - Sagha, Hesam
A1  - Bayati, Hamidreza
A1  - del R. Millán, José
A1  - Chavarriaga, Ricardo
JA  - Procedia Computer Science
Y1  - 2011
VL  - 7
IS  - 0
SP  - 173
EP  - 174
SN  - 1877-0509
N1  - Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11)
UR  - http://www.sciencedirect.com/science/article/pii/S1877050911005631
M2  - doi: 10.1016/j.procs.2011.09.003
N2  - OPPORTUNITY is project under the EU FET-Open funding in which we develop mobile systems to recognize human activity in dynamically varying sensor setups. The system autonomously discovers available sensors around the user and self-configures to recognize desired activities. It reconfigures itself as the environment changes, and encompasses principles supporting autonomous operation in open-ended environments. OPPORTUNITY mainstreams ambient intelligence and improves user acceptance by relaxing constraints on body-worn sensor characteristics, and eases the deployment in real-world environments. We summarize key achievements of the project so far. The project outcomes are robust activity recognition systems. This may enable smarter activity-aware energy-management in buildings, and advanced activity-aware health assistants.
ER  -