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...
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Format: | Article |
Language: | en_US |
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Institute of Electrical and Electronics Engineers
2010
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Online Access: | http://hdl.handle.net/1721.1/52542 https://orcid.org/0000-0003-2026-5631 |
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author | Calabrese, Francesco Reades, Jonathan Ratti, Carlo |
author2 | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
author_facet | Massachusetts Institute of Technology. Department of Urban Studies and Planning Calabrese, Francesco Reades, Jonathan Ratti, Carlo |
author_sort | Calabrese, Francesco |
collection | MIT |
description | 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. |
first_indexed | 2024-09-23T10:25:16Z |
format | Article |
id | mit-1721.1/52542 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T10:25:16Z |
publishDate | 2010 |
publisher | Institute of Electrical and Electronics Engineers |
record_format | dspace |
spelling | mit-1721.1/525422022-09-30T20:59:02Z Eigenplaces: Segmenting Space Through Digital Signatures Calabrese, Francesco Reades, Jonathan Ratti, Carlo Massachusetts Institute of Technology. Department of Urban Studies and Planning Ratti, Carlo Calabrese, Francesco Ratti, Carlo Wi-Fi architectural space campus eigenplaces eigenvalues mobile environments mobile/wireless pervasive computing spectral signatures ubiquitous computing wireless communications 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. 2010-03-12T17:21:58Z 2010-03-12T17:21:58Z 2009-12 Article http://purl.org/eprint/type/JournalArticle 1536-1268 INSPEC Accession Number: 11049384 http://hdl.handle.net/1721.1/52542 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 https://orcid.org/0000-0003-2026-5631 en_US http://doi.ieeecomputersociety.org/10.1109/MPRV.2009.62 IEEE Pervasive Computing 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. application/pdf Institute of Electrical and Electronics Engineers author/dept web page |
spellingShingle | Wi-Fi architectural space campus eigenplaces eigenvalues mobile environments mobile/wireless pervasive computing spectral signatures ubiquitous computing wireless communications Calabrese, Francesco Reades, Jonathan Ratti, Carlo Eigenplaces: Segmenting Space Through Digital Signatures |
title | Eigenplaces: Segmenting Space Through Digital Signatures |
title_full | Eigenplaces: Segmenting Space Through Digital Signatures |
title_fullStr | Eigenplaces: Segmenting Space Through Digital Signatures |
title_full_unstemmed | Eigenplaces: Segmenting Space Through Digital Signatures |
title_short | Eigenplaces: Segmenting Space Through Digital Signatures |
title_sort | eigenplaces segmenting space through digital signatures |
topic | Wi-Fi architectural space campus eigenplaces eigenvalues mobile environments mobile/wireless pervasive computing spectral signatures ubiquitous computing wireless communications |
url | http://hdl.handle.net/1721.1/52542 https://orcid.org/0000-0003-2026-5631 |
work_keys_str_mv | AT calabresefrancesco eigenplacessegmentingspacethroughdigitalsignatures AT readesjonathan eigenplacessegmentingspacethroughdigitalsignatures AT ratticarlo eigenplacessegmentingspacethroughdigitalsignatures |