Location recognition in RFID bookshelves

Sozo Inoue, Yasunobu Nohara, Masaki Takemori, Kozo Sakuragawa

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


We consider RFID bookshelves, which detect the location of books using RFID. An RFID bookshelf has the antennas of RFID readers in the boards, and detects the location of an RFID tag attached to a book. However, the accuracy is not good with the experience of the existing system, and sometimes reads the tag of the next or even further area. In this paper, we propose a method to improve the location detection using naive Bayes classifer, and show the experimental result. We obtained 78.6% of F-measure for total 12658 instances, and show the advantage against the straightforward approach of calculating the center of gravity of the read readers. More importantly, we show the performance is less dependent of a change of layouts and a difference of books by leave-1-layout/book-out cross validation. This is favorable for the feasibility in library operation.

Original languageEnglish
Pages (from-to)1147-1152
Number of pages6
JournalIEICE Transactions on Information and Systems
Issue number6
Publication statusPublished - Jun 2011

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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