Seite - 3 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

Fundamentalsof IndoorLocation forSmart O´scarBelmonte-Ferna´ndeza,1 aInstituteofNewImagingTechnologies ComputerScienceandLanguagesDepartment University JaumeI Castello´nde laPlana,Spain. Abstract. Indoor location is a topic that has attracted lot attention in the past two decades.This ismainlydue to the successof outdoor location, typicallyGPS, and the provided services based on this technology. The goal of indoor location is to provide similar services that can be found in outdoor locationwhereGPS signal can not penetrate (buildings such as airports, malls, museums and homes). This tutorial presents the different technologies available for indoor location, the algo- rithmsused, example applications and future research lines. Special attentionwill bedevoted to locationsystemsbasedonWi-Fifingerprinting. Keywords. Indoor location,Wi-Fifingerprinting,MachineLearning 1. Introduction Thegoal of indoor location is to estimate a user’s position inside a building,where the intensity of the GPS signal is too low to be detected. Indoor location is an enabling technology for providing services relaying in the user’s location information. Some of these services are a replica ofGPS-based services, like route planning,whereas others are specificnew, likeassistive technologies in the realmofAmbientAssistedLivingand SmartEnvironments [1,2]. 2. Indoorenabling technologies Several technologies have been applied to address the indoor location challenge:Blue- toothLowEnergy(BLE),sound/ultrasound,Wi-Fifingerprinting,video,PassiveInfrared sensors (PIR),UltraWideBand (UWB)andNFC,among themost extendedused [3,4]. Wi-Fifingerprinting isoneof themostusedmethods for indoor location.This ismainly due to theubiquitouspresenceofWi-Fi signals inurbanareas, its availability taken into account thatmostmobilephonesareequippedwithWi-Fihardware,andto itsaffordable price. 1Corresponding Author: Institute of New Imaging Technologies, Computer Science and Languages Department, University Jaume I, Av. Vicente Sos Baynat, Castello´n de la Plana, 12071 Spain.; E-mail: oscar.belmonte@uji.es. EnvironmentsApplications Intelligent Environments 2019 A. Muñoz et al. (Eds.) © 2019 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/AISE190011 3