Hipprint Person Identification and Behavior Analys

Hong Kong August 20-August 24

DOI Bookmark:

http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.628

18th International Conference on Patt ...

	This Article
	PURCHASE ARTICLE: $19 PDF HTML IEEE Xplore Subscribers
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Masafumi Yamada Articles by Mineichi Kudo Articles by Hidetoshi Nonaka Articles by Jun Toyama

	ASCII Text	x
	Masafumi Yamada, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama, "Hipprint Person Identification and Behavior Analys," Pattern Recognition, International Conference on, vol. 4, pp. 533-536, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006.

	BibTex	x
	@article{ 10.1109/ICPR.2006.628, author = {Masafumi Yamada and Mineichi Kudo and Hidetoshi Nonaka and Jun Toyama}, title = {Hipprint Person Identification and Behavior Analys}, journal ={Pattern Recognition, International Conference on}, volume = {4}, year = {2006}, issn = {1051-4651}, pages = {533-536}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.628}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Pattern Recognition, International Conference on TI - Hipprint Person Identification and Behavior Analys SN - 1051-4651 SP533 EP536 A1 - Masafumi Yamada, A1 - Mineichi Kudo, A1 - Hidetoshi Nonaka, A1 - Jun Toyama, PY - 2006 KW - null VL - 4 JA - Pattern Recognition, International Conference on ER -

Masafumi Yamada, Hokkaido University, Japan

Mineichi Kudo, Hokkaido University, Japan

Hidetoshi Nonaka, Hokkaido University, Japan

Jun Toyama, Hokkaido University, Japan

It has been gathering great deal of attention to provide personalized services in the home or in the small office. As a necessary technology for it, person recognition by pressure sensors on a chair is described. It exploits the hipprints of users. Such a method makes it possible to automatically login to a computer when the user sits. The recognition rate reached to 99.6% for 5 people and 98.4% for 10 people. In addition, a change of the hipprints is available to figure out roughly what he/she was doing.

Citation:

Masafumi Yamada, Mineichi Kudo, Hidetoshi Nonaka, Jun Toyama, "Hipprint Person Identification and Behavior Analys," icpr, vol. 4, pp.533-536, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.