Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
We describe and evaluate a distributed architecture for the online recognition of user activity sequences. In a lower layer, simple heterogeneous atomic activities were recognised ...
Oliver Amft, Clemens Lombriser, Thomas Stiefmeier,...
In this paper, we present a real application system based on wireless sensor network (WSN) for fence surveillance which is implemented on our development platform for WSN, called ...
Youngsoo Kim, Jonggu Kang, Daeyoung Kim, Eunjo Kim...
This paper presents a proof-of-concept wireless sensor network for detecting and tracking friendly objects and detecting and localizing foreign objects. The network incorporates a...
Clustering is an important characteristic of most sensor applications. In this paper we define COSMOS, the Cluster-based, heterOgeneouS MOdel for Sensor networks. The model assum...