Abstract | ||
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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. |
Year | DOI | Venue |
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2006 | 10.1109/ICPR.2006.628 | Pattern Recognition, 2006. ICPR 2006. 18th International Conference |
Keywords | Field | DocType |
authorisation,gesture recognition,pressure sensors,behavior analysis,hipprint person identification,person recognition,pressure sensors | Computer vision,Person recognition,Computer science,Login,Authorization,Gesture recognition,Exploit,Artificial intelligence | Conference |
Volume | ISSN | ISBN |
4 | 1051-4651 | 0-7695-2521-0 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Masafumi Yamada | 1 | 0 | 0.34 |
Mineichi Kudo | 2 | 927 | 116.09 |
Hidetoshi Nonaka | 3 | 85 | 12.18 |
J. Toyama | 4 | 35 | 5.43 |