poster

Indoor localisation system based on low-cost commodity hardware

Authors:

Mihaela Apetroaie-Cristea,

Steven J Johnston,

Mark Scott,

Simon J CoxAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Pages 13 - 16

https://doi.org/10.1145/2968219.2971441

Published: 12 September 2016 Publication History

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Abstract

Pervasive indoor positioning is a key enabler for ubiquitous computing. Although a number of indoor positioning systems exist, we identify that there still is a barrier between these and the consumer. There is a need for a cost-effective, practical solution that can be easily designed, built, tested and deployed.

We have built a low-cost indoor positioning system with off-the-shelf commodity hardware, to provide an example of an accessible ubiquitous platform for developers, academia, private individuals, big and small companies and institutions. The system is low-power, modular, performs auto-calibration, can track any WiFi-enabled device and can be used for other applications alongside indoor positioning.

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Cited By

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Beigi KShah-Mansouri H(2024)An Intelligent Indoor Positioning Algorithm Based on Wi-Fi and Bluetooth Low Energy2024 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC57260.2024.10570531(1-6)Online publication date: 21-Apr-2024
https://doi.org/10.1109/WCNC57260.2024.10570531
Oransirikul TPiumarta ITakada H(2019)Classifying Passenger and Non-passenger Signals in Public Transportation by Analysing Mobile Device Wi-Fi ActivityJournal of Information Processing10.2197/ipsjjip.27.2527(25-32)Online publication date: 2019
https://doi.org/10.2197/ipsjjip.27.25
Christy Jeba Malar ADeva Priya MSengathir JKiruthiga NAnitha RSangeetha T(2019)An intelligent multi-floor indoor positioning system for cloud-based environmentInternational Journal of Computers and Applications10.1080/1206212X.2019.169644744:12(1170-1177)Online publication date: 27-Nov-2019
https://doi.org/10.1080/1206212X.2019.1696447

Index Terms

Indoor localisation system based on low-cost commodity hardware
1. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

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Information & Contributors

Information

Published In

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2016

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Funding Sources

Engineering and Physical Sciences Research Council

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UbiComp '16

Sponsor:

UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

View all

Beigi KShah-Mansouri H(2024)An Intelligent Indoor Positioning Algorithm Based on Wi-Fi and Bluetooth Low Energy2024 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC57260.2024.10570531(1-6)Online publication date: 21-Apr-2024
https://doi.org/10.1109/WCNC57260.2024.10570531
Oransirikul TPiumarta ITakada H(2019)Classifying Passenger and Non-passenger Signals in Public Transportation by Analysing Mobile Device Wi-Fi ActivityJournal of Information Processing10.2197/ipsjjip.27.2527(25-32)Online publication date: 2019
https://doi.org/10.2197/ipsjjip.27.25
Christy Jeba Malar ADeva Priya MSengathir JKiruthiga NAnitha RSangeetha T(2019)An intelligent multi-floor indoor positioning system for cloud-based environmentInternational Journal of Computers and Applications10.1080/1206212X.2019.169644744:12(1170-1177)Online publication date: 27-Nov-2019
https://doi.org/10.1080/1206212X.2019.1696447

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Recommendations

UWB-based Single-anchor Low-cost Indoor Localization System

Low-cost Device-Free Localization using Detection Probability Model in Outdoors

SDR-based passive indoor localization system for GSM