|Title:||Analysis of distance and similarity metrics in indoor positioning based on bluetooth low energy||Authors:||de Blasio, Gabriel
García, Carmelo R.
Rodríguez-Rodríguez, Jose Carlos
|UNESCO Clasification:||1203 Ciencia de los ordenadores||Issue Date:||2017||Publisher:||Springer||Journal:||Lecture Notes in Computer Science||Conference:||11th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2017||Abstract:||In this work, we provide an analysis of BLE channel-separate fingerprinting using different distance and similarity measures. In a 168 m2 testbed, 12 beacons with Eddystone and iBeacon protocols set were deployed, taking into account the orientation of users and considering 10 distance/similarity measures. We have observed that there is an orientation that offers the best positioning performance with the combination of iBeacon protocol, channel 38 and Mahalanobis distance. Taking 8 samples in the online phase, accuracy values obtained are in the range 1.28 m–1.88 m, and precision values are within 1.90 m–3.76 m or less, 90% of the time and depending which orientation the observer is facing.||URI:||http://hdl.handle.net/10553/52392||ISBN:||978-3-319-67584-8||ISSN:||0302-9743||DOI:||10.1007/978-3-319-67585-5_23||Source:||Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science, v. 10586 LNCS, p. 213-224|
|Appears in Collections:||Capítulo de libro|
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