Presentation 2010-05-21
A Supporting Method for Finding Lost Objects using Sensing Data
Satoshi Konishi, Yuusuke Kawakita, Kazuto Kamiyama, Haruhisa Ichikawa,
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Abstract(in English) In this research, we aim to develop the method to find lost objects using the sensing data. In many cases, it is difficult to collect the sensing data completely. In this manuscript, we discuss a supporting system to find lost objects using the combination of various technologies for the object identification such as RFID, image recognition, two-dimensional code, etc. All the objects will not be always identified even with the smart combination of the technologies. In our method, the missing data are estimated based on the metric which is defined with the co-occurrence of objects. Experimental results indicate that proposed method is useful when the recall or the completeness of the data is considered more important than the precision or the exactness of data.
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Keyword(in English) RFID / Ubiquitous Computing / Finding Lost Objects / Co-occurrence
Paper # USN2010-8
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Conference Date 2010/5/14(1days)
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Registration To Ubiquitous and Sensor Networks(USN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Supporting Method for Finding Lost Objects using Sensing Data
Sub Title (in English)
Keyword(1) RFID
Keyword(2) Ubiquitous Computing
Keyword(3) Finding Lost Objects
Keyword(4) Co-occurrence
1st Author's Name Satoshi Konishi
1st Author's Affiliation Graduate School of Informatics, the University of Electro-Communications()
2nd Author's Name Yuusuke Kawakita
2nd Author's Affiliation Graduate School of Informatics, the University of Electro-Communications
3rd Author's Name Kazuto Kamiyama
3rd Author's Affiliation Graduate School of Informatics, the University of Electro-Communications
4th Author's Name Haruhisa Ichikawa
4th Author's Affiliation Graduate School of Informatics, the University of Electro-Communications
Date 2010-05-21
Paper # USN2010-8
Volume (vol) vol.110
Number (no) 50
Page pp.pp.-
#Pages 6
Date of Issue