Eigenplaces: Segmenting Space through Digital Signatures

被引:58
作者
Calabrese, Francesco [1 ]
Reades, Jonathan [2 ]
Ratti, Carlo [1 ]
机构
[1] MIT, SENSEable City Lab, Cambridge, MA 02139 USA
[2] UCL, Ctr Adv Spatial Anal, London WC1E 6BT, England
关键词
IEEE; 802; 11; Standards; Wireless communication; Data mining; Pervasive computing; Feature extraction; Floors; ubiquitous computing; campus; Wi-Fi; mobile environments; eigenvalues; eigenplaces; spectral signatures; architectural space; wireless communications; pervasive computing; mobile; wireless;
D O I
10.1109/MPRV.2009.62
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Unlike radio and television's unidirectional broadcast, wireless data network transceivers can act as probes to propagate environmental data back to a network observer. This fundamental difference lets researchers use the volume, timing, and distribution of packets passing across communications networks of varying scales to study the bricks and mortar" of physical space. The authors use the Massachusetts Institute of Technology's Wi-Fi (IEEE 802.11) network to collect data generated as a by-product of network activity and correlate it with the physical environment using eigendecomposition. © 2010 IEEE."
引用
收藏
页码:78 / 84
页数:7
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