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Indoor geolocation on multi-sensor smartphones

Published: 25 June 2013 Publication History

Abstract

In this demo, we present an efficient hybrid indoor positioning solution that uses multi-sensory location-oriented observations, including WiFi, accelerometer, gyroscope and digital compass data, that are widely available on Android smartphones.

Reference

[1]
C. Laoudias et al., "Localization Using Radial Basis Function Networks and Signal Strength Fingerprints in WLAN," in IEEE GLOBECOM, 2009, pp. 1--6.

Cited By

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  • (2020)APPLYING SMARTPHONES FOR POSITIONING IN THE MIDDLE OF THE ROOMComputer Design Systems. Theory and Practice10.23939/cds2020.01.0111:1(11-18)Online publication date: 2020
  • (2019)IoT and Engagement in the Ubiquitous MuseumSensors10.3390/s1906138719:6(1387)Online publication date: 21-Mar-2019
  • (2019)Towards Robust Methods for Indoor Localization using Interval Data2019 20th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM.2019.00-12(403-408)Online publication date: Jun-2019
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  1. Indoor geolocation on multi-sensor smartphones

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    Published In

    cover image ACM Conferences
    MobiSys '13: Proceeding of the 11th annual international conference on Mobile systems, applications, and services
    June 2013
    568 pages
    ISBN:9781450316729
    DOI:10.1145/2462456
    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: 25 June 2013

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    Author Tags

    1. WiFi
    2. android
    3. indoor positioning
    4. sensors
    5. signal strength

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    • Demonstration

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    MobiSys '13 Paper Acceptance Rate 33 of 211 submissions, 16%;
    Overall Acceptance Rate 274 of 1,679 submissions, 16%

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    Cited By

    View all
    • (2020)APPLYING SMARTPHONES FOR POSITIONING IN THE MIDDLE OF THE ROOMComputer Design Systems. Theory and Practice10.23939/cds2020.01.0111:1(11-18)Online publication date: 2020
    • (2019)IoT and Engagement in the Ubiquitous MuseumSensors10.3390/s1906138719:6(1387)Online publication date: 21-Mar-2019
    • (2019)Towards Robust Methods for Indoor Localization using Interval Data2019 20th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM.2019.00-12(403-408)Online publication date: Jun-2019
    • (2018)WLAN-BLE Based Indoor Positioning System using Machine Learning Cloud Services2018 IEEE 2nd Colombian Conference on Robotics and Automation (CCRA)10.1109/CCRA.2018.8588127(1-6)Online publication date: Nov-2018
    • (2017)Indoor positioning WLAN based fingerprinting as supervised machine learning problem2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME)10.1109/SIITME.2017.8259888(194-199)Online publication date: Oct-2017
    • (2017)The Microsoft Indoor Localization Competition: Experiences and Lessons LearnedIEEE Signal Processing Magazine10.1109/MSP.2017.271381734:5(125-140)Online publication date: Sep-2017
    • (2017)Internet-Based Indoor Navigation ServicesIEEE Internet Computing10.1109/MIC.2017.291142021:4(54-63)Online publication date: 2017
    • (2016)Leveraging proximity sensing to mine the behavior of museum visitors2016 IEEE International Conference on Pervasive Computing and Communications (PerCom)10.1109/PERCOM.2016.7456513(1-9)Online publication date: Mar-2016
    • (2015)A realistic evaluation and comparison of indoor location technologiesProceedings of the 14th International Conference on Information Processing in Sensor Networks10.1145/2737095.2737726(178-189)Online publication date: 13-Apr-2015
    • (2015)Microsoft Indoor Localization CompetitionGetMobile: Mobile Computing and Communications10.1145/2721914.272192318:4(24-31)Online publication date: 13-Jan-2015
    • Show More Cited By

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