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

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

doi:10.1109/INFOCOM.2014.6848234

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 proceeding › Conference article published in proceeding or book › Academic research › peer-review

21 Citations (Scopus)

Abstract

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 language	English
Title of host publication	IEEE INFOCOM 2014 - IEEE Conference on Computer Communications
Publisher	IEEE
Pages	2840-2848
Number of pages	9
ISBN (Print)	9781479933600
DOIs	https://doi.org/10.1109/INFOCOM.2014.6848234
Publication status	Published - 1 Jan 2014
Externally published	Yes
Event	33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014 - Toronto, ON, Canada Duration: 27 Apr 2014 → 2 May 2014

Conference

Conference	33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014
Country/Territory	Canada
City	Toronto, ON
Period	27/04/14 → 2/05/14

Keywords

Doppler Frequency Shift
Human-Item Spatial Relation
Indoor Navigation
RFID

ASJC Scopus subject areas

General Computer Science
Electrical and Electronic Engineering

More information

10.1109/INFOCOM.2014.6848234

Cite this

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title = "RollCaller: User-friendly indoor navigation system using human-item spatial relation",

abstract = "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.",

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Guo, Y, Yang, L, Li, B, Liu, T & Liu, Y 2014, RollCaller: User-friendly indoor navigation system using human-item spatial relation. in IEEE INFOCOM 2014 - IEEE Conference on Computer Communications., 6848234, IEEE, pp. 2840-2848, 33rd IEEE Conference on Computer Communications, IEEE INFOCOM 2014, Toronto, ON, Canada, 27/04/14. https://doi.org/10.1109/INFOCOM.2014.6848234

RollCaller: User-friendly indoor navigation system using human-item spatial relation. / Guo, Yi; Yang, Lei; Li, Bowen et al.
IEEE INFOCOM 2014 - IEEE Conference on Computer Communications. IEEE, 2014. p. 2840-2848 6848234.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - RollCaller: User-friendly indoor navigation system using human-item spatial relation

AU - Guo, Yi

AU - Yang, Lei

AU - Li, Bowen

AU - Liu, Tianci

AU - Liu, Yunhao

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AB - 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.

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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