Roggen, DanielCalatroni, AlbertoFörster, KilianTröster, GerhardLukowicz, PaulBannach, DavidFerscha, AloisKurz, MarcHölzl, GeroldSagha, HesamBayati, HamidrezaMillán, José del R.Chavarriaga, Ricardo2012-01-052012-01-052012-01-05201110.1016/j.procs.2011.09.003https://infoscience.epfl.ch/handle/20.500.14299/76350OPPORTUNITY is project under the EU FET-Open funding1 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.Activity recognitionpervasive computingadaptive systemsmachine learningcontext framework[Opportunity]text::conference output::conference proceedings::conference paper