Activity Recognition in Opportunistic Sensor Environments
Daniel Roggen, Alberto Calatroni, Kilian Förster, Gerhard Tröster, Paul Lukowicz, David Bannach, Alois Ferscha, Marc Kurz, Gerold Hölzl, Hesam Sagha, Hamidreza Bayati, José del R. Millán, Ricardo Chavarriaga · Procedia Computer Science · 2011
OPPORTUNITY 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.