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12875 Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks
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Marin-Perianu, M. and Lombriser, C. and Amft, O. and Havinga, P.J.M. and Troster, G. (2008) Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks. In: Distributed Computing in Sensor Systems, 11-14 Jun 2008, Santorini, Greece. pp. 296-313. Springer Verlag. ISBN 978-3-540-69169-3

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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, and memory overhead in the order of 1.5kB RAM.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:SENSEI: Integrating the PhySical with the Digital World of the Network of the Future
ID Code:12875
Deposited On:19 June 2008
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