Lohan, Elena Simona
Torres-Sospedra, Joaquin
Richter, Philipp
Leppäkoski, Helena
Huerta, Joaquin
Cramariuc, Andrei
2017-09-12
<p>This dataset contains two Wi-Fi databases (one for training and one for test/estimation purposes in indoor positioning applications), collected in a crowdsourced mode (i.e., via 21 different devices and different users), together with a benchmarking utility software (in Matlab and Python) to illustrate various algorithms of indoor positioning based solely on WiFi information (MAC addresses and RSS values). </p>
<p>The data was collected in a 4-floor university building in Tampere, Finland, during Jan-Aug 2017 and it comprises 687 training fingerprints and 3951 test or estimation fingerprints.</p>
<p>13.10.2017: Version 2 uploaded; the revised version contains improved readme files and improved Python SW.</p>
<p>The dataset and/or the associated software are to be cited as follows:</p>
<p>E.S. Lohan, J. Torres-Sospedra, P. Richter, H. Leppäkoski, J. Huerta, A. Cramariuc, “Crowdsourced WiFi-fingerprinting database and benchmark software for indoor positioning”, Zenodo repository, DOI 10.5281/zenodo.889798</p>
https://doi.org/10.5281/zenodo.1001662
oai:zenodo.org:1001662
Zenodo
https://zenodo.org/communities/tau_wireless
https://zenodo.org/communities/tau-tltpos
https://doi.org/10.5281/zenodo.889797
info:eu-repo/semantics/openAccess
MIT License
https://opensource.org/licenses/MIT
Received Signal Strength
WLAN
WiFi
fingerprinting
database
training data
software
Matlab
Python
indoor
positioning
localization
benchmark
Crowdsourced WiFi database and benchmark software for indoor positioning
info:eu-repo/semantics/other