Authors
Yi Han
Erich P. Stuntebeck
John T. Stasko
Gregory D. Abowd
Abstract
Radio frequency (RF) ?ngerprinting-based techniques for localization are a promising approach for ubiquitous positioning systems, particularly indoors. By ?nding unique ?ngerprints of RF signals received at different locations within a prede?ned area beforehand, whenever a similar ?ngerprint is subsequently seen again, the localization system will be able to infer a user’s current location. However, developers of these systems face the problem of ?nding reliable RF ?ngerprints that are unique enough and adequately stable over time. We present a visual analytics system that enables developers of these localization systems to visually gain insight on whether their collected datasets and chosen ?ngerprint features have the necessary properties to enable a reliable RF ?ngerprinting-based localization system. The system was evaluated by testing and debugging an existing localization system.
Index Terms
H.5.2 [User Interfaces]: Graphical user interfaces (GUI)—; D.2.5 [Testing and Debugging]: Debugging aids—