Crowdsourced WiFi database and benchmark software for indoor positioning
Dataset
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, during Jan-Aug 2017 and it comprises 687 training fingerprints and 3951 test or estimation fingerprints.
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.
| Date made available | 12 Sep 2017 |
|---|---|
| Publisher | Tampere University of Technology |
| Temporal coverage | Jan 2017 - Aug 2017 |
| Date of data production | Jan 2017 - Aug 2017 |
| Geographical coverage | Parts of TUT campus |
| Geospatial polygon (coordinate pairs that describe the corners of a shape in decimal format, separated by commas) | 23° 51' 15.7"E, 61° 26' 58.3"N 23° 51' 15.4"E, 61° 27' 00.5"N 23° 51' 24.3"E, 61° 27' 01.0"N 23° 51' 26.9"E, 61° 26' 58.7"N |
Physical data
Crowdsourced WiFi-fingerprinting database
Storage location On Zenodo: https://doi.org/10.5281/zenodo.889798 Media Zip-folder containing csv-files Type Dataset
ID: 12922556