RollCaller: User-friendly indoor navigation system using human-item spatial relation

Yi Guo, Lei Yang, Bowen Li, Tianci Liu, Yunhao Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

20 Citations (Scopus)


Indoor navigation has received much attention in academics and industry in recent years. Previous methods often attempt to locate users with various localization algorithms in combination with an indoor map, so they need expensive infrastructures deployed in advance. In this study, we propose to utilize existing indoor objects attached RFID tags and the reader to navigate the user to the destination, without need of any extra hardware. The key insight is that the personal movement takes an impact on the Doppler frequency shift values collected from the indoor objects when getting close to the tag. Such local human-item spatial relation is leveraged to infer the users position and further navigate user to destination step by step. We implement a prototype navigation system, called RollCaller, and conduct comprehensive experiments to examine its performance.
Original languageEnglish
Title of host publicationIEEE INFOCOM 2014 - IEEE Conference on Computer Communications
Number of pages9
ISBN (Print)9781479933600
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014 - Toronto, ON, Canada
Duration: 27 Apr 20142 May 2014


Conference33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014
CityToronto, ON


  • Doppler Frequency Shift
  • Human-Item Spatial Relation
  • Indoor Navigation
  • RFID

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering


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