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QiLoc---a Qi-wireless based platform for robust user-initiated indoor location services: demo abstract

Published:03 November 2014Publication History

ABSTRACT

In this demo, we present the design and implementation of a novel user-initiated indoor location system called QiLoc. QiLoc is a simple yet effective way to accurately locate and identify occupants inside buildings. QiLoc is composed of QiLoc Stations and QiLoc Server. QiLoc Stations are embedded inside or under desks/tables. By utilizing the Qi wireless charging protocol, a QiLoc Station is able to extract the unique IDs from phones placed on the desk, and therefore locating the user. QiLoc Server communicates with QiLoc Stations, maintains location information of occupants, and provides a set of APIs via standard web services. These services include location, ad hoc group membership, and authentication. Using these primitives, QiLoc enables a wide range of smart-building applications and we have implemented a number of applications.

References

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  2. Qi inductive power standard. Available at http://en.wikipedia.org/wiki/Qi_(inductive_power_standard).Google ScholarGoogle Scholar

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  1. QiLoc---a Qi-wireless based platform for robust user-initiated indoor location services: demo abstract

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                  cover image ACM Conferences
                  BuildSys '14: Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings
                  November 2014
                  241 pages
                  ISBN:9781450331449
                  DOI:10.1145/2674061

                  Copyright © 2014 Owner/Author

                  Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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                  Association for Computing Machinery

                  New York, NY, United States

                  Publication History

                  • Published: 3 November 2014

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                  Overall Acceptance Rate148of500submissions,30%

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