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@ARTICLE{RoggenFET2011,
    author = {Roggen, Daniel and Calatroni, Alberto and F{\"{o}}rster, Kilian and Tr{\"{o}}ster, Gerhard and Lukowicz, Paul and Bannach, David and Ferscha, Alois and Kurz, Marc and H{\"{o}}lzl, Gerold and Sagha, Hesam and Bayati, Hamidreza and del R. Mill{\'{a}}n, Jos{\'{e}} and Chavarriaga, Ricardo},
     title = {Activity Recognition in Opportunistic Sensor Environments},
   journal = {Procedia Computer Science},
    volume = {7},
    number = {0},
      year = {2011},
     pages = {173 - 174},
      note = {Proceedings of the 2nd European Future Technologies Conference and Exhibition 2011 (FET 11)},
      issn = {1877-0509},
       url = {http://www.sciencedirect.com/science/article/pii/S1877050911005631},
       doi = {10.1016/j.procs.2011.09.003},
  abstract = {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.}
}