Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks

Publication Type Conference Paper
Authors Mihai Marin-Perianu, Clemens Lombriser, Oliver Amft, Paul Havinga, Gerhard Tröster
Title Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks
Abstract 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.
Date June 2008
Proceedings Title DCOSS 2008: Proceedings of the International Conference on Distributed Computing in Sensor Systems
Publisher Springer
Volume 5067
Pages 296–313
Series Lecture Notes in Computer Science
DOI 10.1007/978-3-540-69170-9_20
Extra Acceptance rate: 25%
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Friedrich-Alexander-Universität Erlangen-Nürnberg