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Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting
dc.contributor.author | Mendoza-Silva, Germán Martín | |
dc.contributor.author | Costa, Ana Cristina | |
dc.contributor.author | Torres-Sospedra, Joaquín | |
dc.contributor.author | Painho, Marco | |
dc.contributor.author | Huerta, Joaquin | |
dc.date.accessioned | 2021-07-01T08:15:46Z | |
dc.date.available | 2021-07-01T08:15:46Z | |
dc.date.issued | 2021-04-19 | |
dc.identifier.citation | MENDOZA-SILVA, Germán, et al. Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting. IEEE Sensors Journal, 2021. | ca_CA |
dc.identifier.issn | 1530-437X | |
dc.identifier.issn | 1558-1748 | |
dc.identifier.uri | http://hdl.handle.net/10234/193563 | |
dc.description.abstract | Data enrichment through interpolation or regression is a common approach to deal with sample collection for Indoor Localization with WiFi fingerprinting. This paper provides guidelines on where to collect WiFi samples, and proposes a new model for received signal strength regression. The new model creates vectors that describe the presence of obstacles between an access point and the collected samples. The vectors, the distance between the access point and the positions of the samples, and the collected, are used to train a Support Vector Regression. The experiments included some relevant analyses and showed that the proposed model improves received signal strength regression in terms of regression residuals and positioning accuracy. | ca_CA |
dc.format.extent | 10 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Institute of Electrical and Electronics Engineers | ca_CA |
dc.publisher | IEEE | ca_CA |
dc.rights | 1530-437X (c) 2021 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information | ca_CA |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | ca_CA |
dc.subject | RSS regression | ca_CA |
dc.subject | WiFi samples collection | ca_CA |
dc.subject | WiFi fingerprinting | ca_CA |
dc.subject | indoor positioning | ca_CA |
dc.subject | training | ca_CA |
dc.subject | analytical models | ca_CA |
dc.subject | extrapolation | ca_CA |
dc.subject | sensors | ca_CA |
dc.subject | libraries | ca_CA |
dc.subject | interpolation | ca_CA |
dc.subject | wireless fidelity | ca_CA |
dc.title | Environment-Aware Regression for Indoor Localization based on WiFi Fingerprinting | ca_CA |
dc.type | info:eu-repo/semantics/article | ca_CA |
dc.identifier.doi | https://doi.org/10.1109/JSEN.2021.3073878 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361 | ca_CA |
dc.type.version | info:eu-repo/semantics/acceptedVersion | ca_CA |
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