Utilizing Rich Bluetooth Environments for Identity Prediction and Exploring Social Networks as Techniques for Ubiquitous Computing

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http://doi.ieeecomputersociety.org/10.1109/WI.2006.185

2006 IEEE/WIC/ACM International Confe ...

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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	x
	@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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