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INSIDe: Image recognition tool aimed at helping visually impaired people contextualize indoor environments
Federal University of Fronteira Sul, Brazil.
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. Federal University of Fronteira Sul, Brazil. (Interaction Lab (ILAB))ORCID iD: 0000-0001-6479-4856
Federal University of Fronteira Sul, Brazil.
Federal University of Rio Grande do Sul, Brazil.
2019 (English)In: Revista Brasileira de Computação Aplicada, ISSN 2176-6649, Vol. 11, no 3, p. 59-71Article in journal (Refereed) Published
Abstract [en]

Visually impaired (VI) people face a set of challenges when trying to orient and contextualize themselves. Computer vision and mobile devices can be valuable tools to help them improve their quality of life. This work presents a tool based on computer vision and image recognition to assist VI people to better contextualize themselves indoors. The tool works as follows: user takes a picture rho using a mobile application; rho is sent to the server; rho is compared to a database of previously taken pictures; server returns metadata of the database image that is most similar to rho; finally the mobile application gives an audio feedback based on the received metadata. Similarity test among database images and rho is based on the search of nearest neighbors in key points extracted from the images by SIFT descriptors. Three experiments are presented to support the feasibility of the tool. We believe our solution is a low cost, convenient approach that can leverage existing IT infrastructure, e.g. wireless networks, and does not require any physical adaptation in the environment where it will be used.

Place, publisher, year, edition, pages
UNIV PASSO FUNDO , 2019. Vol. 11, no 3, p. 59-71
Keywords [en]
Android system, computer vision, SIFT, Visually impaired
National Category
Computer Sciences
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-18024DOI: 10.5335/rbca.v11i3.9455ISI: 000493127600006OAI: oai:DiVA.org:his-18024DiVA, id: diva2:1380842
Available from: 2019-12-19 Created: 2019-12-19 Last updated: 2020-01-29Bibliographically approved

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Bevilacqua, Fernando

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • Other style
More styles
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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