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http://hdl.handle.net/10553/52392
| Título: | Analysis of distance and similarity metrics in indoor positioning based on bluetooth low energy | Autores/as: | de Blasio, Gabriel Quesada-Arencibia, Alexis García, Carmelo R. Moreno-Díaz, Roberto Rodríguez-Rodríguez, Jose Carlos |
Clasificación UNESCO: | 1203 Ciencia de los ordenadores | Fecha de publicación: | 2017 | Editor/a: | Springer | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 11th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2017 | Resumen: | 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 | Fuente: | Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science, v. 10586 LNCS, p. 213-224 |
| Colección: | Capítulo de libro |
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