Activity Recognition in Opportunistic Sensor Environments.

Procedia Computer Science(2011)

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摘要
OPPORTUNITY is project under the EU FET-Open funding11We acknowledge the support of the commission's research programme under under FET-Open grant number 225938. www.opportunity-project.eu. Contact author: Daniel Roggen, droggen@gmail.com in which we develop mobile systems to recognize human activity in dynamically varying sensor setups [1], [2]. 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.
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68T05,68T10,68T37,62H30,93A15,93A30
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