Accuracy of Bluetooth based Indoor Positioning using different Pattern Recognition Techniques

Object indoor location is a field that receives much research effort but that is lacking enough maturity for its integration in popular devices like mobile phones. This paper describes the results of an experiment carried out to compare different pattern recognition algorithms in order to process th...

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Detalles Bibliográficos
Autores principales: Rodríguez Damián, María, Vila, Xosé A., Rodríguez Liñares, Leandro
Formato: Articulo
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Informáticas
bluetooth
indoor location
indoor positioning
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/74418
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-74418
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
bluetooth
indoor location
indoor positioning
spellingShingle Ciencias Informáticas
bluetooth
indoor location
indoor positioning
Rodríguez Damián, María
Vila, Xosé A.
Rodríguez Liñares, Leandro
Accuracy of Bluetooth based Indoor Positioning using different Pattern Recognition Techniques
topic_facet Ciencias Informáticas
bluetooth
indoor location
indoor positioning
description Object indoor location is a field that receives much research effort but that is lacking enough maturity for its integration in popular devices like mobile phones. This paper describes the results of an experiment carried out to compare different pattern recognition algorithms in order to process the information from a set of Bluetooth transmitters, located in fixed positions, with the aim of locating an object in a precise position. Our conclusion is that the best algorithms, among the five we tested, are random forests and model-based clustering, which gave accuracies around 90%. We have also conducted experiments to analyse the influence of the number of Bluetooth transmitters and to determine the sets of features with better performance. The proposed approach is simple and gives 90% of accuracy for locating objects with 1 m precision, making it suitable for a wide range of applications.
format Articulo
Articulo
author Rodríguez Damián, María
Vila, Xosé A.
Rodríguez Liñares, Leandro
author_facet Rodríguez Damián, María
Vila, Xosé A.
Rodríguez Liñares, Leandro
author_sort Rodríguez Damián, María
title Accuracy of Bluetooth based Indoor Positioning using different Pattern Recognition Techniques
title_short Accuracy of Bluetooth based Indoor Positioning using different Pattern Recognition Techniques
title_full Accuracy of Bluetooth based Indoor Positioning using different Pattern Recognition Techniques
title_fullStr Accuracy of Bluetooth based Indoor Positioning using different Pattern Recognition Techniques
title_full_unstemmed Accuracy of Bluetooth based Indoor Positioning using different Pattern Recognition Techniques
title_sort accuracy of bluetooth based indoor positioning using different pattern recognition techniques
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/74418
work_keys_str_mv AT rodriguezdamianmaria accuracyofbluetoothbasedindoorpositioningusingdifferentpatternrecognitiontechniques
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AT rodriguezlinaresleandro accuracyofbluetoothbasedindoorpositioningusingdifferentpatternrecognitiontechniques
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