Activity recognition using RFID phase profiling in smart library

Yegang Du, Yuto Lim, Yasuo Tan

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In the library, recognizing the activity of the reader can better uncover the reading habit of the reader and make book management more convenient. In this study, we present the design and implementation of a reading activity recognition approach based on passive RFID tags. By collecting and analyzing the phase profiling distribution feature, our approach can trace the reader’s trajectory, recognize which book is picked up, and detect the book misplacement. We give a detailed analysis of the factors that can affect phase profiling in theory and combine these factors with relevant activities. The proposed approach recognizes the activities based on the amplitude of the variation of phase profiling, so that the activities can be inferred in real time through the phase monitoring of tags. We then implement our approach with off-the-shelf RFID equipment, and the experiments show that our approach can achieve high accuracy and efficiency in activity recognition in a real-world situation. We conclude our work and further discuss the necessity of a personalized book recommendation system in future libraries.

Original languageEnglish
Pages (from-to)768-776
Number of pages9
JournalIEICE Transactions on Information and Systems
VolumeE102D
Issue number4
DOIs
Publication statusPublished - 2019 Apr 1
Externally publishedYes

Keywords

  • Activity recognition
  • Internet of things
  • RFID
  • Smart library
  • Wireless sensing

ASJC Scopus subject areas

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

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