Crowdsourced WiFi database and benchmark software for indoor positioning
Description
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).
The data was collected in a 4-floor university building in Tampere, Finland, from January to August 2017 and it comprises 687 training fingerprints and 3951 test or estimation fingerprints.
Show moreYear of publication
2019
Authors
Elektroniikka ja tietoliikennetekniikka - Publisher
Other information
Language
No linguistic content
Open access
Open
License
Other (Open)