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Integrating Computer Vision Object Recognition with Location Based Services for the Blind

2014-07-01Comunicação em conferência Acesso restrito
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datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorFernandes, Hugo
dc.contributor.authorCosta, Paulo
dc.contributor.authorParedes, Hugo
dc.contributor.authorFilipe, Vítor
dc.contributor.authorBarroso, João
dc.date.accessioned2026-05-14T14:05:19Z
dc.date.available2026-05-14T14:05:19Z
dc.date.issued2014-07-01
dc.descriptionConference name: 8th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014; 22 - 27 June 2014
dc.description.abstractThe task of moving from one place to another is a difficult challenge that involves obstacle avoidance, staying on street walks, finding doors, knowing the current location and keeping on track through the desired path. Nowadays, navigation systems are widely used to find the correct path, or the quickest, between two places. While assistive technology has contributed to the improvement of the quality of life of people with disabilities, people with visual impairment still face enormous limitations in terms of their mobility. In recent years, several approaches have been made to create systems that allow seamless tracking and navigation both in indoor and outdoor environments. However there is still an enormous lack of availability of information that can be used to assist the navigation of users with visual impairments as well as a lack of sufficient precision in terms of the estimation of the user's location. Blavigator is a navigation system designed to help users with visual impairments. In a known location, the use of object recognition algorithms can provide contextual feedback to the user and even serve as a validator to the positioning module and geographic information system of a navigation system for the visually impaired. This paper proposes a method where the use of computer vision algorithms validate the outputs of the positioning system of the Blavigator prototype.eng
dc.description.sponsorship
dc.identifier.citationFernandes, H., Costa, P., Paredes, H., Filipe, V., Barroso, J. (2014). Integrating Computer Vision Object Recognition with Location Based Services for the Blind. In: Stephanidis, C., Antona, M. (eds) Universal Access in Human-Computer Interaction. Aging and Assistive Environments. UAHCI 2014. Lecture Notes in Computer Science, vol 8515. Springer, Cham. https://doi.org/10.1007/978-3-319-07446-7_48
dc.identifier.doi10.1007/978-3-319-07446-7_48
dc.identifier.isbn978-331907445-0
dc.identifier.issn03029743
dc.identifier.urihttp://hdl.handle.net/10400.8/16278
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relation.hasversionhttps://link.springer.com/chapter/10.1007/978-3-319-07446-7_48
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.ispartofUniversal Access in Human-Computer Interaction. Aging and Assistive Environments
dc.relation.ispartofseriesLecture Notes in Computer Science (LNCS)
dc.rights.uriN/A
dc.subjectblind
dc.subjectcomputer vision
dc.subjectlocation-based
dc.subjectnavigation
dc.subjectobject recognition
dc.subjectservices
dc.titleIntegrating Computer Vision Object Recognition with Location Based Services for the Blindeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2014-06
oaire.citation.conferencePlaceCrete, Greece
oaire.citation.endPage500
oaire.citation.issuePART 3
oaire.citation.startPage493
oaire.citation.titleUniversal Access in Human-Computer Interaction. Aging and Assistive Environments (UAHCI 2014)
oaire.citation.volume8515 LNCS
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCosta
person.givenNamePaulo
person.identifier.orcid0000-0001-5952-2709
relation.isAuthorOfPublication01277b2b-f9a2-4e19-8d18-ef065adb30f0
relation.isAuthorOfPublication.latestForDiscovery01277b2b-f9a2-4e19-8d18-ef065adb30f0

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