Eigenplaces: Segmenting Space Through Digital Signatures
Name
2010_Calabrese_Reades_Ratti_IEEE_Pervasive_Computing.pdf
Size
1.76 MB
Format
Adobe PDF
Checksum (MD5)
4d13bf3b82335a11ba28da7daf80049e
Author(s)
Calabrese, Francesco
Reades, Jonathan
Ratti, Carlo
Date Issued
December 2009
Journal
IEEE Pervasive Computing
Publisher
Institute of Electrical and Electronics Engineers
Citation
Calabrese, F., J. Reades, and C. Ratti. “Eigenplaces: Segmenting Space through Digital Signatures.” Pervasive Computing, IEEE 9.1 (2010): 78-84. Print. © 2010 Institute of Electrical and Electronics Engineers
Version
Final published version
Abstract
Researchers use eigendecomposition to leverage MIT's Wi-Fi network activity data and analyze to the physical environment. We proposed a method to analyze and categorize wireless access points based on common usage characteristics that reflect real-world, placed-based behaviors. It uses eigendecomposition to study the Wi-Fi network at the Massahusetts Institute of Technology (MIT), correlating data generated as a byproduct of network activity with the physical environment. Our approach provides an instant survey of building use across the entire campus at a surprisingly fine-grained level. The resulting eigenplaces have implications for reseach across a range of wireless technology as well as potential applications in network planning, traffic and tourism management, and even marketing.
Subjects
Wi-Fi
architectural space
campus
eigenplaces
eigenvalues
mobile environments
mobile/wireless
pervasive computing
spectral signatures
ubiquitous computing
wireless communications
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
http://doi.ieeecomputersociety.org/10.1109/MPRV.2009.62
