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DCOSS
2008
Springer

Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks

10 years 1 months ago
Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks
Wireless sensor nodes can act as distributed detectors for recognizing activities online, with the final goal of assisting the users in their working environment. We propose an activity recognition architecture based on fuzzy logic, through which multiple nodes collaborate to produce a reliable recognition result from unreliable sensor data. As an extension to the regular fuzzy inference, we incorporate temporal order knowledge of the sequences of operations involved in the activities. The performance evaluation is based on experimental data from a car assembly trial. The system achieves an overall recognition performance of 0.81 recall and 0.79 precision with regular fuzzy inference, and 0.85 recall and 0.85 precision when considering temporal order knowledge. We also present early experiences with implementing the recognition system on sensor nodes. The results show that the algorithms can run online, with execution times in the order of 40ms, for the whole recognition chain,
Mihai Marin-Perianu, Clemens Lombriser, Oliver Amf
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where DCOSS
Authors Mihai Marin-Perianu, Clemens Lombriser, Oliver Amft, Paul J. M. Havinga, Gerhard Tröster
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