Activity Recognition in Opportunistic Sensor Environments
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Author / Producer
Date
2011
Publication Type
Other Conference Item
ETH Bibliography
yes
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Abstract
OPPORTUNITY is project under the EU FET-Open funding1 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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Publication status
published
External links
Editor
Book title
Journal / series
Volume
7
Pages / Article No.
173 - 174
Publisher
Elsevier
Event
2nd European Future Technologies Conference and Exhibition (FET 2011)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Activity recognition; Pervasive computing; Adaptive systems; Machine learning; Context framework
Organisational unit
03388 - Tröster, Gerhard (emeritus)