Eigenplaces: Segmenting Space through Digital Signatures

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 eigendec...

Full description

Saved in:
Bibliographic Details
Published in:IEEE pervasive computing 2010-01, Vol.9 (1), p.78-84
Main Authors: Calabrese, F., Reades, J., Ratti, C.
Format: Article
Language:English
Subjects:
architectural space
Byproducts
campus
Communication networks
Correlation
Data analysis
Digital signatures
eigenplaces
eigenvalues
Marketing management
mobile environments
mobile/wireless
Networks
Observers
pervasive computing
Potential well
spectral signatures
Technology management
Technology planning
Telecommunication traffic
Television
Transceivers
ubiquitous computing
Wi-Fi
Wireless communication
wireless communications
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!