TY - GEN
T1 - Indoor people tracking based on dynamic weighted MultiDimensional scaling
AU - Cabero, Jose Maria
AU - Sanchez, Aritz
AU - De La Torre, Fernando
AU - Arizaga, Iñigo
PY - 2007
Y1 - 2007
N2 - Accurate location of people in indoor environments is a key aspect of many applications such as resource management or security. In this paper, we explore the use of short-range radio technologies to track people indoors. The network consists of two kind of radio nodes: static nodes (anchors) and mobile nodes (people). From a set of sparse connectivity matrices (people vs. people and people vs. anchors) at each time instant and people's dynamics, we infer people's trajectories. To combine connectivity and dynamic information, we propose an extension of Multidimensional Scaling (MDS), Dynamic Weighted MDS (DWMDS), that finds an embedding of people's trajectories (x and y coordinates of people through time). DWMDS has proven to be more accurate and effective, especially for low connectivity degree networks (i.e. sparse networks), compared to existing location algorithms. Extensive simulations show the effectiveness and robustness of the proposed algorithm.
AB - Accurate location of people in indoor environments is a key aspect of many applications such as resource management or security. In this paper, we explore the use of short-range radio technologies to track people indoors. The network consists of two kind of radio nodes: static nodes (anchors) and mobile nodes (people). From a set of sparse connectivity matrices (people vs. people and people vs. anchors) at each time instant and people's dynamics, we infer people's trajectories. To combine connectivity and dynamic information, we propose an extension of Multidimensional Scaling (MDS), Dynamic Weighted MDS (DWMDS), that finds an embedding of people's trajectories (x and y coordinates of people through time). DWMDS has proven to be more accurate and effective, especially for low connectivity degree networks (i.e. sparse networks), compared to existing location algorithms. Extensive simulations show the effectiveness and robustness of the proposed algorithm.
KW - Connectivity data
KW - Indoor tracking
KW - People's dynamics
KW - RSS
KW - Short-range radio technologies
UR - http://www.scopus.com/inward/record.url?scp=42149134271&partnerID=8YFLogxK
U2 - 10.1145/1298126.1298183
DO - 10.1145/1298126.1298183
M3 - Conference contribution
AN - SCOPUS:42149134271
SN - 9781595938510
T3 - MSWiM'07: Proceedings of the Tenth ACM Symposium on Modeling, Analysis, and Simulation of Wireless and Mobile Systems
SP - 328
EP - 335
BT - MSWiM'07
T2 - MSWiM'07: 10th ACM Symposium on Modeling, Analysis, and Simulation of Wireless and Mobile Systems
Y2 - 22 October 2007 through 26 October 2007
ER -