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2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06)
Utilizing Rich Bluetooth Environments for Identity Prediction and Exploring Social Networks as Techniques for Ubiquitous Computing
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2747-7
ASCII Text
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Jukka Perkio, Ville Tuulos, Marion Hermersdorf, Heli Nyholm, Jukka Salminen, Henry Tirri, "Utilizing Rich Bluetooth Environments for Identity Prediction and Exploring Social Networks as Techniques for Ubiquitous Computing," Web Intelligence, IEEE / WIC / ACM International Conference on, pp. 137-144, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006.
 
 
BibTex
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@article{ 10.1109/WI.2006.185,
author = {Jukka Perkio and Ville Tuulos and Marion Hermersdorf and Heli Nyholm and Jukka Salminen and Henry Tirri},
title = {Utilizing Rich Bluetooth Environments for Identity Prediction and Exploring Social Networks as Techniques for Ubiquitous Computing},
journal ={Web Intelligence, IEEE / WIC / ACM International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2747-7},
pages = {137-144},
doi = {http://doi.ieeecomputersociety.org/10.1109/WI.2006.185},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Web Intelligence, IEEE / WIC / ACM International Conference on
TI - Utilizing Rich Bluetooth Environments for Identity Prediction and Exploring Social Networks as Techniques for Ubiquitous Computing
SN - 0-7695-2747-7
SP137
EP144
A1 - Jukka Perkio,
A1 - Ville Tuulos,
A1 - Marion Hermersdorf,
A1 - Heli Nyholm,
A1 - Jukka Salminen,
A1 - Henry Tirri,
PY - 2006
KW - null
VL - 0
JA - Web Intelligence, IEEE / WIC / ACM International Conference on
ER -
 
Jukka Perkio, Helsinki Institute for Information Technology, Finland
Ville Tuulos, Helsinki Institute for Information Technology, Finland
Marion Hermersdorf, Nokia Research Center, Finland
Heli Nyholm, Nokia Research Center, Finland
Jukka Salminen, Nokia Research Center, Finland
Henry Tirri, Nokia Research Center, Finland
Personal identification and using that information is in the heart of many ubiquitous systems. We present two complementary techniques, namely personal identification without directly observing the subject, and using that information for understanding the social relations between the subjects. We show that with certain presumptions it is possible to predict one?s identity with reasonable certainty only by observing one?s Bluetooth neighborhood without the need to directly observe the subject. We also show how this information can be used for exploring the social relations between the subjects.
Citation:
Jukka Perkio, Ville Tuulos, Marion Hermersdorf, Heli Nyholm, Jukka Salminen, Henry Tirri, "Utilizing Rich Bluetooth Environments for Identity Prediction and Exploring Social Networks as Techniques for Ubiquitous Computing," wi, pp.137-144, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006
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