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A Systematic Review of Smartphone-Based Indoor Navigation Assistance for Blind and Visually Impaired People
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0002-9100-3826
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.ORCID iD: 0000-0001-7572-8790
Number of Authors: 42025 (English)In: Technology for Inclusion and Participation for All: Recent Achievements and Future Directions: 18th International Conference, AAATE 2025, Nicosia, Cyprus, September 10-12, 2025, Proceedings, Part I / [ed] Katerina Mavrou, Pedro Encarnação, Springer Nature , 2025Conference paper, Published paper (Refereed)
Abstract [en]

Navigating complex indoor spaces is one of the challenges for individuals with blindness or visual impairments. Smartphone-based solutions offer a promising approach to addressing these challenges due to their affordability, availability, adaptability, and acceptability. This study systematically reviewed the literature on smartphone-based indoor navigation systems for blind and visually impaired individuals, focusing on technologies, techniques, and evaluation methods. Our review highlights that computer vision is an evolving technology in this domain, with Radio Frequency Identification and Internet of Things technologies serving as valuable complements. The findings underscore the potential of smartphones to enhance accessibility and inclusion, while also emphasizing the importance of a user-centered design approach in development efforts. By identifying trends and gaps, this study provides valuable insights for advancing smartphone-based assistive technologies for indoor navigation.

Place, publisher, year, edition, pages
Springer Nature , 2025.
Keywords [en]
Indoor Navigation, Indoor Localization, Blind Users, Visually Impaired, Smartphone
National Category
Human Computer Interaction
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-250705DOI: 10.1007/978-3-032-01628-7_14ISBN: 978-3-032-01627-0 (print)ISBN: 978-3-032-01628-7 (electronic)OAI: oai:DiVA.org:su-250705DiVA, id: diva2:2024350
Conference
18th International Conference, AAATE 2025, Nicosia, Cyprus, September 10-12, 2025.
Available from: 2025-12-28 Created: 2025-12-28 Last updated: 2026-01-19Bibliographically approved

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Alizada, MarziaLampinen, AiriIdestam-Almquist, PeterWestin, Thomas

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