TagTrack

device-free localization and tracking using passive RFID tags

Wenjie Ruan, Lina Yao, Quan Z. Sheng, Nickolas J.G. Falkner, Xue Li

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

32 Citations (Scopus)

Abstract

Device-free passive localization aims to localize or track targets without requiring them to carry any devices or to be actively involved with the localization process. This technique has received much attention recently in a wide range of applications including elderly people surveillance, intruder detection, and indoor navigation. In this paper, we propose a novel localization and tracking system based on the Received Signal Strength field formed by a set of cost-efficient passive RFID tags. We firstly formulate localization as a classification task, where we compare several state-of-theart learning-based classification methods including k Nearest Neighbor (kNN), Multivariate Gaussian Mixture Model (GMM) and Support Vector Machine (SVM). To track a moving subject, we propose two HiddenMarkovModel (HMM)- based methods, namely GMM-based HMM and kNNbased HMM. kNN-based HMM extends kNN into a probabilistic style to approximate the Emission Probability Matrix in HMM. The proposed methods can be easily applied into other fingerprint-based tracking systems regardless of their hardware platforms. We conduct extensive experiments and the results demonstrate the effectiveness and accuracy of our approaches with up to 98% localization accuracy and an average of 0.7m tracking error.

Original languageEnglish
Title of host publicationMobiQuitous 2014 - 11th International Conference on Mobile and Ubiquitous Systems
Subtitle of host publicationComputing, Networking and Services
Place of PublicationLondon, United Kingdom
PublisherICST
Pages80-89
Number of pages10
ISBN (Electronic)9781631900396
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2014 - London, United Kingdom
Duration: 2 Dec 20145 Dec 2014

Other

Other11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2014
CountryUnited Kingdom
CityLondon
Period2/12/145/12/14

Keywords

  • Gaussian mixture model
  • Hidden markov model
  • Kernel-based
  • Localization
  • Nearest neighbor
  • Rfid

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