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Crowdsourcing the Installation and Maintenance of Indoor Localization Infrastructure to Support Blind Navigation

Published: 26 March 2018 Publication History

Abstract

Indoor navigation systems can make unfamiliar buildings more accessible for people with vision impairments, but their adoption is hampered by the effort of installing infrastructure and maintaining it over time. Most solutions in this space require augmenting the environment with add-ons, such as Bluetooth beacons. Installing and calibrating such infrastructure requires time and expertise. Once installed, localization accuracy often degrades over time as batteries die, beacons go missing, or otherwise stop working. Even localization systems installed by experts can become unreliable weeks, months, or years after the installation. To address this problem, we created LuzDeploy: a physical crowdsourcing system that organizes non-experts for the installation and long-term maintenance of a Bluetooth-based navigation system. LuzDeploy simplifies the tasks required to install and maintain the localization infrastructure, thus making a crowdsourcing approach feasible for non-experts. We report on a field deployment where 127 participants installed and maintained a blind navigation system over several months in a 7-story building, completing 455 tasks in total. We compare the accuracy of the system installed by participants to an installation completed by experts with specialized equipment. LuzDeploy aims to improve the sustainability of indoor navigation systems to encourage widespread adoption outside of research settings.

Supplemental Material

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Supplemental movie, appendix, image and software files for, Crowdsourcing the Installation and Maintenance of Indoor Localization Infrastructure to Support Blind Navigation

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Published In

cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 2, Issue 1
March 2018
1370 pages
EISSN:2474-9567
DOI:10.1145/3200905
Issue’s Table of Contents
Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Publication History

Published: 26 March 2018
Accepted: 01 January 2018
Revised: 01 November 2017
Received: 01 May 2017
Published in IMWUT Volume 2, Issue 1

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Author Tags

  1. Individuals with visual impairments
  2. Indoor navigation assistance
  3. Physical crowdsourcing
  4. Real-world accessibility
  5. Volunteer crowd work

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  • (2024)Position-Aware Indoor Human Activity Recognition Using Multisensors Embedded in SmartphonesSensors10.3390/s2411336724:11(3367)Online publication date: 24-May-2024
  • (2024)SonicVista: Towards Creating Awareness of Distant Scenes through SonificationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596098:2(1-32)Online publication date: 15-May-2024
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