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.