Ibeaconmap: Automated indoor space representation for beacon-based wayfinding

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Authors
Cheraghi, Seyed Ali
Namboodiri, Vinod
Sinha, Kaushik
Advisors
Issue Date
2020-09
Type
Conference paper
Keywords
Accessibility , Computer vision , Indoor wayfinding , Internet of things (IoT) , Machine learning
Research Projects
Organizational Units
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Citation
Cheraghi S.A., Namboodiri V., Sinha K. (2020) IBeaconMap: Automated Indoor Space Representation for Beacon-Based Wayfinding. In: Miesenberger K., Manduchi R., Covarrubias Rodriguez M., Peňáz P. (eds) Computers Helping People with Special Needs. ICCHP 2020. Lecture Notes in Computer Science, vol 12376. Springer, Cham
Abstract

Traditionally, there have been few options for navigational aids for the blind and visually impaired (BVI) in large indoor spaces. Some recent indoor navigation systems allow users equipped with smartphones to interact with low cost Bluetooth-based beacons deployed strategically within the indoor space of interest to navigate their surroundings. A major challenge in deploying such beacon-based navigation systems is the need to employ a time and labor-expensive beacon planning process to identify potential beacon placement locations and arrive at a topological structure representing the indoor space. This work presents a technique called IBeaconMap for creating such topological structures to use with beacon-based navigation that only needs the floor plans of the indoor spaces of interest.

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Publisher
Springer
Journal
Book Title
Series
Lecture Notes in Computer Science;v.12376
PubMed ID
DOI
ISSN
0302-9743
EISSN