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Demo Abstract: Demonstrating Principal Component Aggregation for Distributed Spatial Pattern Recognition Host Publication: 9th Authors: Y. Le Borgne, A. Nowé, K. Steenhaut and G. Bontempi Publication Date: Apr. 2010 ISBN: 978-1-60558-988-6
Abstract: The Principal Component Aggregation has recently been proposed as a versatile distributed information extraction technique for sensor networks. This demonstration illustrates its use for a network-level pattern recognition task. Four different patterns, or events, may be sensed by light measurements of a network of 27 nodes. The sensor measurements are fused on the fly along a routing tree up to the base station, where the monitored pattern is recognized by a prediction algorithm.
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