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GetSensorData: An extensible Android-based application for multi-sensor data re...

Gutierrez, Juan D.; Jimenez, Antonio R.; Seco, Fernando; Alvarez, Fernando J.; Aguilera, Teodoro; Torres-Sospedra, Joaquín; Melchor, Fran

Smartphones are powerful tools with extensive sensorization that can provide useful information in research or everyday life applications. This information can be obtained from the device's built-in sensors or through other external sensors connected physically via USB or wirelessly via Bluetooth or WiFi. This paper presents the GetSensorData application that provides an open-source, flexible and extensible fra...


Ensembling multiple radio maps with dynamic noise in fingerprint-based indoor p...

Torres-Sospedra, Joaquín; Aranda, Fernando J.; Alvarez, Fernando J.; Quezada-Gaibor, Darwin; Silva, Ivo Miguel Menezes; Pendão, Cristiano Gonçalves

Fingerprint-based indoor positioning is widely used in many contexts, including pedestrian and autonomous vehicles navigation. Many approaches have used traditional Machine Learning models to deal with fingerprinting, being k-NN the most common used one. However, the reference data (or radio map) is generally limited, as data collection is a very demanding task, which degrades overall accuracy. In this work, we...


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