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.
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Sozo INOUE, Yasunobu NOHARA, Masaki TAKEMORI, Kozo SAKURAGAWA, "Location Recognition in RFID Bookshelves" in IEICE TRANSACTIONS on Information,
vol. E94-D, no. 6, pp. 1147-1152, June 2011, doi: 10.1587/transinf.E94.D.1147.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E94.D.1147/_p
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@ARTICLE{e94-d_6_1147,
author={Sozo INOUE, Yasunobu NOHARA, Masaki TAKEMORI, Kozo SAKURAGAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Location Recognition in RFID Bookshelves},
year={2011},
volume={E94-D},
number={6},
pages={1147-1152},
abstract={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.},
keywords={},
doi={10.1587/transinf.E94.D.1147},
ISSN={1745-1361},
month={June},}
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TY - JOUR
TI - Location Recognition in RFID Bookshelves
T2 - IEICE TRANSACTIONS on Information
SP - 1147
EP - 1152
AU - Sozo INOUE
AU - Yasunobu NOHARA
AU - Masaki TAKEMORI
AU - Kozo SAKURAGAWA
PY - 2011
DO - 10.1587/transinf.E94.D.1147
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E94-D
IS - 6
JA - IEICE TRANSACTIONS on Information
Y1 - June 2011
AB - 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.
ER -