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

Content Provider	IEEE Xplore Digital Library
Author	Yi Guo Lei Yang Bowen Li Tianci Liu Yunhao Liu
Copyright Year	2014
Description	Author affiliation: Hong Kong Univ. of Sci. & Technol., Hong Kong, China (Yi Guo) \|\| Sch. of Software, Tsinghua Univ., Beijing, China (Lei Yang; Bowen Li; Tianci Liu; Yunhao Liu)
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.
Starting Page	2840
Ending Page	2848
File Size	479204
Page Count	9
File Format	PDF
ISBN	9781479933600
DOI	10.1109/INFOCOM.2014.6848234
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Antennas Doppler effect Navigation Antenna measurements Radiofrequency identification Noise Frequency measurement Indoor Navigation RFID Doppler Frequency Shift Human-Item Spatial Relation
Content Type	Text
Resource Type	Article

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