iBookshelf: accurately search and locate books with an adaptive and intelligent bookshelf

  • Authors:
  • Xi Chen;Lei Xie;Xiaofan Jiang;Sanglu Lu;Daoxu Chen

  • Affiliations:
  • Nanjing University, Nanjing, China;Nanjing University, Nanjing, China;Intel Labs China;Nanjing University, Nanjing, China;Nanjing University, Nanjing, China

  • Venue:
  • Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
  • Year:
  • 2012

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Abstract

It is a tedious task to search and locate a specific book from massive number of books arbitrarily placed in a bookshelf. In this paper, we demonstrate iBookshelf, a system which allows users to quickly search and accurately locate books in the bookshelf, by leveraging a passive RFID system. By deploying a number of reference tags on the bookshelf, we are able to perform localization based on the similarities in received signal strength, and effectively offset the impact from the ambient noises and interferences. We deploy and evaluate our system in a real 3m x 2.5m bookshelf, and show that users are able to locate the book from our Android-based application with 85% accuracy.