Estimation of Indoor Location Through Magnetic Field Data: An Approach Based On Convolutional Neural Networks

Estimation of Indoor Location Through Magnetic Field Data: An Approach Based On Convolutional Neural Networks

Estimation of indoor location represents an interesting research topic since it is a main contextual variable for location bases services (LBS), eHealth applications and commercial systems, among others. For instance, hospitals require location data of their employees, as well as the location of the...

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Bibliographic Details
Main Authors: Carlos E. Galván-Tejada, Laura A. Zanella-Calzada, Antonio García-Domínguez, Rafael Magallanes-Quintanar, Huizilopoztli Luna-García, Jose M. Celaya-Padilla, Jorge I. Galván-Tejada, Alberto Vélez-Rodríguez, Hamurabi Gamboa-Rosales
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:ISPRS International Journal of Geo-Information
Subjects:
indoor location
magnetic field
convolutional neural network
Online Access:https://www.mdpi.com/2220-9964/9/4/226

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https://www.mdpi.com/2220-9964/9/4/226

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