FMS: Managing Crowdsourced Indoor Signals with the Fingerprint Management Studio

Abstract

In this demonstration paper, we present an integrated indoor signal management studio, coined Fingerprint Management Studio (FMS), which provides a spatio-temporal platform to: (i) manage the collection of location-dependent sensor readings (i.e., fingerprints) in indoor environments; (ii) estimate the localization accuracy based on the collected fingerprints; and (iii) assess Wi-Fi coverage and data rates. The demonstration will present the components comprising FMS, namely CSM (Crowd Signal Map), ACCES (Accuracy Estimation) and WS (Wi-Fi Surveying), through a compelling map-based visual analytic interface implemented on top of our open-source indoor navigation service, coined Anyplace. We will present FMS in two modes: (i) Online Mode, where attendees will be able to collect and analyze real fingerprints at the conference venue; and (ii) Offline Mode, where attendees will be able to interact with measurements of University campus in Cyprus, a Hotel in the US and an Expo in S. Korea.