Wi-Fi Crowdsourced Fingerprinting Dataset for Indoor Positioning

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

    Research output: Contribution to journalArticleScientificpeer-review

    53 Citations (Scopus)
    474 Downloads (Pure)

    Abstract

    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)
    Original languageEnglish
    Number of pages16
    JournalMDPI Data
    Volume2
    Issue number4
    DOIs
    Publication statusPublished - 3 Oct 2017
    Publication typeA1 Journal article-refereed

    Publication forum classification

    • No publication forum level

    Fingerprint

    Dive into the research topics of 'Wi-Fi Crowdsourced Fingerprinting Dataset for Indoor Positioning'. Together they form a unique fingerprint.

    Cite this