Museum accessibility through Wi-Fi indoor positioning.
Resumen:
Accessibility has long been a primary concern for major museums around the world. This is no exception for the Museo Nacional de Artes Visuales (MNAV, National Museum of Visual Arts) in Uruguay. Having a special interest in achieving accessibility for visually impaired visitors, the MNAV sought to implement a new system to allow these visitors a seamless tour around a new exhibit. We present here the system we developed and the lessons we learned from its deployment and usage. In particular, we used Wi-Fi indoor positioning techniques, so that visually impaired visitors could hear relevant audios through an Android app from their own smartphones based on their location inside the museum. The system was further adapted and used to assist the general public during their visits, allowing access to texts, audios and images according to their position. We furthermore share the complete source code and the dataset used to train the system
| 2020 | |
|
Localization Machine learning Open source Computers and Society |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/27048 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1807522897023991808 |
|---|---|
| author | Bracco, Antonio |
| author2 | Grunwald, Federico Navcevich, Agustín Capdehourat, Germán Larroca, Federico |
| author2_role | author author author author |
| author_facet | Bracco, Antonio Grunwald, Federico Navcevich, Agustín Capdehourat, Germán Larroca, Federico |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Bracco Antonio, Universidad de la República (Uruguay). Facultad de Ingeniería. Grunwald Federico, Universidad de la República (Uruguay). Facultad de Ingeniería. Navcevich Agustín, Universidad de la República (Uruguay). Facultad de Ingeniería. Capdehourat Germán, Universidad de la República (Uruguay). Facultad de Ingeniería. Larroca Federico, Universidad de la República (Uruguay). Facultad de Ingeniería. |
| dc.coverage.spatial.es.fl_str_mv | Museo Nacional de Artes Visuales (MNAV), Departamento de Montevideo, Uruguay. |
| dc.creator.none.fl_str_mv | Bracco, Antonio Grunwald, Federico Navcevich, Agustín Capdehourat, Germán Larroca, Federico |
| dc.date.accessioned.none.fl_str_mv | 2021-04-12T18:35:00Z |
| dc.date.available.none.fl_str_mv | 2021-04-12T18:35:00Z |
| dc.date.issued.none.fl_str_mv | 2020 |
| dc.description.abstract.none.fl_txt_mv | Accessibility has long been a primary concern for major museums around the world. This is no exception for the Museo Nacional de Artes Visuales (MNAV, National Museum of Visual Arts) in Uruguay. Having a special interest in achieving accessibility for visually impaired visitors, the MNAV sought to implement a new system to allow these visitors a seamless tour around a new exhibit. We present here the system we developed and the lessons we learned from its deployment and usage. In particular, we used Wi-Fi indoor positioning techniques, so that visually impaired visitors could hear relevant audios through an Android app from their own smartphones based on their location inside the museum. The system was further adapted and used to assist the general public during their visits, allowing access to texts, audios and images according to their position. We furthermore share the complete source code and the dataset used to train the system |
| dc.format.extent.es.fl_str_mv | 7 p. |
| dc.format.mimetype.es.fl_str_mv | application/pdf |
| dc.identifier.citation.es.fl_str_mv | Bracco, A., Grunwald, F., Navcevich, A. y otros. Museum accessibility through Wi-Fi indoor positioning [Preprint]. EN: Computing Research Repository (CoRR), pp 1-7, aug 2020. arXiv:2008.11340. |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/27048 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | arXiv |
| dc.relation.ispartof.es.fl_str_mv | Computing Research Repository (CoRR), arXiv:2008.11340, pp 1-7, aug 2020 |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.rights.uri.en.fl_str_mv | An error occurred getting the license - uri. |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.en.fl_str_mv | Localization Machine learning Open source Computers and Society |
| dc.title.none.fl_str_mv | Museum accessibility through Wi-Fi indoor positioning. |
| dc.type.es.fl_str_mv | Preprint |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/preprint |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/submittedVersion |
| description | Accessibility has long been a primary concern for major museums around the world. This is no exception for the Museo Nacional de Artes Visuales (MNAV, National Museum of Visual Arts) in Uruguay. Having a special interest in achieving accessibility for visually impaired visitors, the MNAV sought to implement a new system to allow these visitors a seamless tour around a new exhibit. We present here the system we developed and the lessons we learned from its deployment and usage. In particular, we used Wi-Fi indoor positioning techniques, so that visually impaired visitors could hear relevant audios through an Android app from their own smartphones based on their location inside the museum. The system was further adapted and used to assist the general public during their visits, allowing access to texts, audios and images according to their position. We furthermore share the complete source code and the dataset used to train the system |
| eu_rights_str_mv | openAccess |
| format | preprint |
| id | COLIBRI_df4e07de8342afd5ab7543b69a84418d |
| identifier_str_mv | Bracco, A., Grunwald, F., Navcevich, A. y otros. Museum accessibility through Wi-Fi indoor positioning [Preprint]. EN: Computing Research Repository (CoRR), pp 1-7, aug 2020. arXiv:2008.11340. |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/27048 |
| publishDate | 2020 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | An error occurred getting the license - uri. Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | Bracco Antonio, Universidad de la República (Uruguay). Facultad de Ingeniería.Grunwald Federico, Universidad de la República (Uruguay). Facultad de Ingeniería.Navcevich Agustín, Universidad de la República (Uruguay). Facultad de Ingeniería.Capdehourat Germán, Universidad de la República (Uruguay). Facultad de Ingeniería.Larroca Federico, Universidad de la República (Uruguay). Facultad de Ingeniería.Museo Nacional de Artes Visuales (MNAV), Departamento de Montevideo, Uruguay.2021-04-12T18:35:00Z2021-04-12T18:35:00Z2020Bracco, A., Grunwald, F., Navcevich, A. y otros. Museum accessibility through Wi-Fi indoor positioning [Preprint]. EN: Computing Research Repository (CoRR), pp 1-7, aug 2020. arXiv:2008.11340.https://hdl.handle.net/20.500.12008/27048Accessibility has long been a primary concern for major museums around the world. This is no exception for the Museo Nacional de Artes Visuales (MNAV, National Museum of Visual Arts) in Uruguay. Having a special interest in achieving accessibility for visually impaired visitors, the MNAV sought to implement a new system to allow these visitors a seamless tour around a new exhibit. We present here the system we developed and the lessons we learned from its deployment and usage. In particular, we used Wi-Fi indoor positioning techniques, so that visually impaired visitors could hear relevant audios through an Android app from their own smartphones based on their location inside the museum. The system was further adapted and used to assist the general public during their visits, allowing access to texts, audios and images according to their position. We furthermore share the complete source code and the dataset used to train the systemSubmitted by Ribeiro Jorge (jribeiro@fing.edu.uy) on 2021-04-11T04:27:49Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) BGNCL20.pdf: 1098776 bytes, checksum: d772393eb740b341b7905f4777e85451 (MD5)Approved for entry into archive by Machado Jimena (jmachado@fing.edu.uy) on 2021-04-12T18:04:14Z (GMT) No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) BGNCL20.pdf: 1098776 bytes, checksum: d772393eb740b341b7905f4777e85451 (MD5)Made available in DSpace by Luna Fabiana (fabiana.luna@fic.edu.uy) on 2021-04-12T18:35:00Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) BGNCL20.pdf: 1098776 bytes, checksum: d772393eb740b341b7905f4777e85451 (MD5) Previous issue date: 20207 p.application/pdfenengarXivComputing Research Repository (CoRR), arXiv:2008.11340, pp 1-7, aug 2020Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. 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- Universidad de la Repúblicafalse |
| spellingShingle | Museum accessibility through Wi-Fi indoor positioning. Bracco, Antonio Localization Machine learning Open source Computers and Society |
| status_str | submittedVersion |
| title | Museum accessibility through Wi-Fi indoor positioning. |
| title_full | Museum accessibility through Wi-Fi indoor positioning. |
| title_fullStr | Museum accessibility through Wi-Fi indoor positioning. |
| title_full_unstemmed | Museum accessibility through Wi-Fi indoor positioning. |
| title_short | Museum accessibility through Wi-Fi indoor positioning. |
| title_sort | Museum accessibility through Wi-Fi indoor positioning. |
| topic | Localization Machine learning Open source Computers and Society |
| url | https://hdl.handle.net/20.500.12008/27048 |
