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Blind Guide: An Ultrasound Sensor-based Body Area Network for Guiding Blind People

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorPereira, António
dc.contributor.authorNunes, Nelson
dc.contributor.authorVieira, Daniel
dc.contributor.authorCosta, Nuno
dc.contributor.authorFernandes, Hugo
dc.contributor.authorBarroso, João
dc.date.accessioned2026-01-26T14:23:33Z
dc.date.available2026-01-26T14:23:33Z
dc.date.issued2015
dc.descriptionConference name: 6th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion, 2015, Sankt Augustin, 10 June 2015 - 12 June 2015.
dc.descriptionConference code: 123108
dc.description.abstractWireless Sensor Networks, in particular Wireless Body Area Networks, is a technology suggested by the research community as allowing elderly people, or people with some kind of disability, to live in a safer, responsive and comfortable environment while at their homes. One of the most active threats to the autonomous life of blind people is the quantity and variety of obstacles they face while moving, whether they are obstacles in the footpath or obstacles coming out from the walls of buildings. Hence, it is necessary to develop a solution that helps or assists blind people while moving either in indoor or outdoor scenarios, simultaneously allowing the use of the use of white cane or the Seeing Eye dog. In this article, the authors propose the use of an ultra-sound based body area network for obstacle detection and warning as a complementary and effective solution for aiding blind people when moving from place to place. According to the cost estimates of the solution and to the negligible setup time, this could be a real effective complementary solution for blind people.eng
dc.identifier.citationPereira, António & Nunes, Nelson & Vieira, Daniel & Costa, Nuno & Fernandes, Hugo & Barroso, Joao. (2015). Blind Guide: An Ultrasound Sensor-based Body Area Network for Guiding Blind People. Procedia Computer Science. 67. 403-408. 10.1016/j.procs.2015.09.285.
dc.identifier.doi10.1016/j.procs.2015.09.285
dc.identifier.issn1877-0509
dc.identifier.urihttp://hdl.handle.net/10400.8/15492
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.hasversionhttps://www.sciencedirect.com/science/article/pii/S1877050915031312
dc.relation.ispartofProcedia Computer Science
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBAN
dc.subjectBlind
dc.subjectguiding
dc.subjectultra-sound
dc.titleBlind Guide: An Ultrasound Sensor-based Body Area Network for Guiding Blind Peopleeng
dc.title.alternative6th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Infoexclusion (DSAI 2015)eng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage408
oaire.citation.startPage403
oaire.citation.titleProcedia Computer Science
oaire.citation.volume67
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePereira
person.familyNameCosta
person.givenNameAntónio
person.givenNameNuno
person.identifier.ciencia-idE215-4F0F-33EC
person.identifier.ciencia-idCB19-E7DA-5A7F
person.identifier.orcid0000-0001-5062-1241
person.identifier.orcid0000-0002-2353-369X
person.identifier.ridM-6163-2013
person.identifier.scopus-author-id7402230199
person.identifier.scopus-author-id56890641000
relation.isAuthorOfPublication6320b167-2323-4699-bf04-9288d3f603c0
relation.isAuthorOfPublication00e2f470-c7a0-4c7e-9edd-6256f9a05c4a
relation.isAuthorOfPublication.latestForDiscovery6320b167-2323-4699-bf04-9288d3f603c0

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