Wi-Fi Crowdsourced Fingerprinting Dataset for Indoor Positioning

Elena-Simona Lohan, Joaquin Torres-Sospedra, Helena Leppäkoski, Philipp Richter, Zhe Peng, Joaquin Huerta

    Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

    53 Sitaatiot (Scopus)
    498 Lataukset (Pure)

    Abstrakti

    Benchmark open-source Wi-Fi fingerprinting datasets for indoor positioning studies are still hard to find in the current literature and existing public repositories. This is unlike other research fields, such as the image processing field, where benchmark test images such as the Lenna image or Face Recognition Technology (FERET) databases exist, or the machine learning field, where huge datasets are available for example at the University of California Irvine (UCI) Machine Learning Repository. It is the purpose of this paper to present a new openly available Wi-Fi fingerprint dataset, comprised of 4648 fingerprints collected with 21 devices in a university building in Tampere, Finland, and to present some benchmark indoor positioning results using these data. The datasets and the benchmarking software are distributed under the open-source MIT license and can be found on the EU Zenodo repository (https://zenodo.org/record/889798)
    AlkuperäiskieliEnglanti
    Sivumäärä16
    JulkaisuMDPI Data
    Vuosikerta2
    Numero4
    DOI - pysyväislinkit
    TilaJulkaistu - 3 lokak. 2017
    OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

    Julkaisufoorumi-taso

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