Indoor Positioning and Fingerprinting:The R Package ipft
View/ Open
Impact
Scholar |
Other documents of the author: Sansano-Sansano, Emilio; Montoliu Colás, Raul; Belmonte-Fernández, Óscar; Torres-Sospedra, Joaquín
Metadata
Show full item recordcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7034
comunitat-uji-handle3:10234/8619
comunitat-uji-handle4:
INVESTIGACIONMetadata
Title
Indoor Positioning and Fingerprinting:The R Package ipftAuthor (s)
Date
2019Publisher
The R FoundationISSN
2073-4859Bibliographic citation
SANSANO, Emilio, et al. Indoor Positioning and Fingerprinting: The R Package ipft. The R Journal, 2019, vol. 11, núm. 1, p. 67-90Type
info:eu-repo/semantics/articlePublisher version
https://journal.r-project.org/archive/2019/RJ-2019-010/index.htmlVersion
info:eu-repo/semantics/publishedVersionAbstract
Methods based on Received Signal Strength Indicator (RSSI) fingerprinting are in theforefront among several techniques being proposed for indoor positioning. This paper introducesthe R packageipft, which ... [+]
Methods based on Received Signal Strength Indicator (RSSI) fingerprinting are in theforefront among several techniques being proposed for indoor positioning. This paper introducesthe R packageipft, which provides algorithms and utility functions for indoor positioning usingfingerprinting techniques. These functions are designed for manipulation of RSSI fingerprint datasets, estimation of positions, comparison of the performance of different positioning models, andgraphical visualization of data. Well-known machine learning algorithms are implemented in thispackage to perform analysis and estimations over RSSI data sets. The paper provides a descriptionof these algorithms and functions, as well as examples of its use with real data. Theipftpackageprovides a base that we hope to grow into a comprehensive library of fingerprinting-based indoorpositioning methodologies. [-]
Is part of
The R Journal, 2019, vol. 11, núm. 1, p. 67-90Investigation project
This work has been partially funded by the Spanish Ministry of Economy and Competitivenessthrough the "Proyectos I + D Excelencia" programme (TIN2015-70202-P) and by Jaume I University"Research promotion plan 2017" programme (UJI-B2017-45).Rights
© The R Foundation
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
This item appears in the folowing collection(s)
- INIT_Articles [748]
- LSI_Articles [362]
- ICC_Articles [419]
- ESID_Articles [472]
The following license files are associated with this item: