A multisource and multivariate dataset for indoor localization methods based on WLAN and geomagnetic field fingerprinting Antonino Crivello*
P. Barsocchi, A. Crivello, D. La Rosa, F. Palumbo ISTI – CNR, Pisa - Italy
1. Why spending effort ? 2. Data Acquisition 3. Data Set Description 4. Discussion and conclusion
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
1.1 1.
Why spending effort ?
• Many papers in the literature trying to solve the indoor localisation issue • Each approach presents algorithms and results using its own dataset based on Wi-Fi or Geo-Magnetic field measurement Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
1.2 1.
State-of-the-art
• The lack of a common dataset and frameworks to compare and evaluate solutions is the main drawback in this field
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
1.3 1.
Novelty
• J. Torres-Sospedra et al. presented two different public dataset (Wi-Fi [1] and GeoMag [2]) • The dataset presented addresses these issues by gathering, in the same environment, Wi-Fi fingerprints, geomagnetic field, and inertial sensors • The dataset is temporary available at http://wnet.isti.cnr.it/software/Ipin2016Dataset.zip (as soon as possible the dataset will be moved to the official UCI repository) [1] J. Torres-Sospedra, R. Montoliu, A. Martinez-Uso, J. P. Avariento, T. J. Arnau, M. Benedito-Bordonau, and J. Huerta, “Ujiindoorloc: A new multi-buildingandmulti-floordatabaseforwlanfingerprint-basedindoor localization problems,” in Indoor Positioning and Indoor Navigation (IPIN), 2014 [2] J.Torres-Sospedra,D.Rambla,R.Montoliu,O.Belmonte,andJ.Huerta, “Ujiindoorlocmag:Anewdatabaseformagneticfield-basedlocalization problems,” in Indoor Positioning and Indoor Navigation (IPIN), 2015 Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
1. Why spend effort ? 2. Data Acquisition 3. Data Set Description 4. Discussion and conclusion
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
2.1
Data Acquisition • Two campaigns performed • Both datasets collected cover a surface of 185.12 m2 • Wearing two devices simultaneously: smartphone and smartwatch
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
2.2
Data Acquisition
• The place in which the data collection was carried out is an indoor office environment composed of two rooms, two corridors and one small entrance hall. • The points were equally spaced by 60 cm in both directions in order to uniformly cover the interested area. Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
2.3
Data Set Acquisition Parameters collected for each device
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
1. Why spend effort ? 2. Data Acquisition 3. Data Set description 4. Discussion and conclusion
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
3.1
Data Set description
• Force applied to a device (x,y,z) • Ambient geo-magnetic field (x,y,z) • Degrees of rotation that a device makes around (x,y,z) • Device’s rate of rotation around x,y,z • Wi-Fi access points (APs): • WiFi network name • AP MAC address • RSSI
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
3.2
Data Set description
• The reference time used by the smartwatch is synchronized with the smartphone before starting each data acquisition session • Sensors output is sampled with a frequency of 10 Hz
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
3.3
Data Set description • The records of both datasets have been captured on 325 different points (dots on the map)
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
3.4
Data Set description
•
WLAN: 650 records, 325 records retrieved during the first campaign and 325 during the second one
•
Geomagnetic dataset - two different tables • Smartphone sensors table • Smartwatch sensors table
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
1. Why spend effort ? 2. Data Acquisition 3. Data Set description 4. Discussion and conclusion
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
4.1
Discussion - WLAN • Place ID and SSID detected
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
4.2
Discussion - GeoMag
• The cross-correlation function between the two magnitude signals. This confirms that the magnetic field measured remains almost constant over time
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
4.3
Discussion - GeoMag
• Heat maps showing the data collected in different parts of the covered environment from
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
4.4
Conclusion
• The space granularity offered by the geo-magnetic field surv is less than the one offered by the RSSs from Wi-Fi access points, that can be used to enhance the overall localization accuracy in hybrid methods
• The presence of Wi-Fi RSSs and geo-magnetic field values, together with the map of the monitored environment, opens various possibilities for fingerprinting-based ILSs, helping researchers in the off-line collection phase.
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena
4.5
Summary
• lack of a common dataset • Our dataset, in the same environment, collects Wi-Fi fingerprints, geomagnetic field, and inertial sensors • Data gathered by smartphone and smartwatch • Future works: compare how different techniques can benefit from fusing information
THANKS
[email protected]
Wi-Fi probes as digital crumbs for crowd localisation – IPIN 2016, Spain | A. Crivello - ISTI, CNR – DIISM, Univ. Of Siena