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  1. Inicio
  2. Examinar por materia

Examinando por Materia "HUELLAS DIGITALES"

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  • Ponencia en Congreso
    Fusion of magnetic and WiFi fingerprints for indoor positioning
    (2018) Grisales Campeón, Juan Pablo; López, Sebastián; de Jesús Meleán, Sergio R.; Moldovan, Horatiu; Parisi, Daniel; Fierens, Pablo Ignacio
    "WiFi received signal strength (RSS) and magnetic field intensity are common measures for indoor localization because they are readily available on most mobile devices. There is a vast literature on smartphone positioning using RSS and it has been widely implemented in real-world scenarios in the last two decades. There is much work done on localization aided by magnetic field measurements. We have recently evaluated the accuracy of RSS-based positioning applying state-of-the-art algorithms to measurements in a well-controlled experimental setup. In this paper, we extend this work to assess the accuracy improvements achievable by fusing WiFi and magnetic field information. We show that accuracy improvements of up to 30% are possible."
  • Proyecto final de Grado
    Indoor positioning system
    (2019-11-29) Li Puma, Juan Francisco; Rodríguez Nicastro, Julián; de Rochebouët, Diego; Fierens, Pablo Ignacio
    "GPS and location services have been a breakthrough in recent history and have become a necessary part of our daily lives, but they haven't yet reached the point where we can be located inside buildings. This would be really useful, with multiple applications such as localization in big buildings, location-based advertising, location-assisted games, locationaware social networks, etc. For this reason, there has been research on the eld to solve this problem and many possible approaches have been found. This project presents a starting point for one of these solutions using WiFi ngerprinting. The project consists of an API and two mobile applications that consume it, one for admins and another for users. The admin app is used to gather samples needed for WiFi ngerprinting in an onlne stage and the user app is used to locate users based on WiFi scans on an online stage. This solution is then tested and the results are presented."

Licencia Atribución-NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)

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