Tampere University of Technology

TUTCRIS Research Portal

Wi-Fi Crowdsourced Fingerprinting Dataset for Indoor Positioning

Research output: Contribution to journalArticleScientificpeer-review


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


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)

Publication forum classification

Downloads statistics

No data available