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Demo: unsupervised indoor localization

Published: 25 June 2012 Publication History

Abstract

We propose UnLoc [1], an unsupervised indoor localization scheme that bypasses the need for war-driving. Our key observation is that certain locations in an indoor environment present an identifiable signature on one or more sensing dimensions. An elevator, for instance, imposes a distinct pattern on a smartphone's accelerometer; a specific spot may experience an unusual magnetic fluctuation. This form of urban sensing and activity recognition has already been demonstrated in literature [2, 3], but not yet applied in pure localization applications. We hypothesize that these kind of signatures naturally exist in the environment and can be envisioned as internal landmarks of a building. Mobile devices that "sense" these landmarks can recalibrate their locations, while dead-reckoning schemes can track them between landmarks. Neither war-driving nor floorplans are necessary - the system simultaneously computes the locations of users and landmarks, in a manner so that they converge reasonably quickly. We believe this is an unconventional approach to indoor localization, holding promise for real-world deployment.

References

[1]
H. Wang et al. Unsupervised indoor localization. In MobiSys, 2012.
[2]
J. Chung et al. Indoor location sensing using geo-magnetism. In MobiSys. ACM, 2011.
[3]
L. Bao and S. Intille. Activity recognition from user-annotated acceleration data. Pervasive Computing, pages 1--27, 2004.

Cited By

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  • (2019)TrackIOProceedings of the 16th USENIX Conference on Networked Systems Design and Implementation10.5555/3323234.3323295(751-764)Online publication date: 26-Feb-2019
  • (2019)Bluetooth Beacon-Based Indoor Localization Using Self-Learning Neural NetworkThe 3rd International Workshop on Deep Learning for Mobile Systems and Applications10.1145/3325413.3329792(25-27)Online publication date: 13-Jun-2019
  • (2019)Magnetic-Based Indoor Localization Using Smartphone via a Fusion AlgorithmIEEE Sensors Journal10.1109/JSEN.2019.290919519:15(6477-6485)Online publication date: 1-Aug-2019
  • Show More Cited By

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Published In

cover image ACM Conferences
MobiSys '12: Proceedings of the 10th international conference on Mobile systems, applications, and services
June 2012
548 pages
ISBN:9781450313018
DOI:10.1145/2307636

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 June 2012

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Author Tags

  1. landmarks
  2. location
  3. mobile phones
  4. recursion
  5. sensing

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  • Demonstration

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MobiSys'12
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Overall Acceptance Rate 274 of 1,679 submissions, 16%

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Cited By

View all
  • (2019)TrackIOProceedings of the 16th USENIX Conference on Networked Systems Design and Implementation10.5555/3323234.3323295(751-764)Online publication date: 26-Feb-2019
  • (2019)Bluetooth Beacon-Based Indoor Localization Using Self-Learning Neural NetworkThe 3rd International Workshop on Deep Learning for Mobile Systems and Applications10.1145/3325413.3329792(25-27)Online publication date: 13-Jun-2019
  • (2019)Magnetic-Based Indoor Localization Using Smartphone via a Fusion AlgorithmIEEE Sensors Journal10.1109/JSEN.2019.290919519:15(6477-6485)Online publication date: 1-Aug-2019
  • (2018)VerificationProceedings of the 24th Annual International Conference on Mobile Computing and Networking10.1145/3241539.3241555(417-427)Online publication date: 15-Oct-2018
  • (2017)WLAN Fingerprint Indoor Positioning Strategy Based on Implicit Crowdsourcing and Semi-Supervised LearningISPRS International Journal of Geo-Information10.3390/ijgi61103566:11(356)Online publication date: 9-Nov-2017
  • (2015)Bringing CUPID Indoor Positioning System to PracticeProceedings of the 24th International Conference on World Wide Web10.1145/2736277.2741686(938-948)Online publication date: 18-May-2015
  • (2014)SAILProceedings of the 12th annual international conference on Mobile systems, applications, and services10.1145/2594368.2594393(315-328)Online publication date: 2-Jun-2014
  • (2013)Energy saving strategies in WiFi indoor localizationProceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems10.1145/2507924.2507997(399-404)Online publication date: 3-Nov-2013

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