BeTelGeuse: A Platform for Gathering and Processing Situational Data

Authors:
Joonas Kukkonen;Eemil Lagerspetz;Petteri Nurmi;Mikael Andersson
Affiliations:
Helsinki Institute for Information Technology HIIT;Helsinki Institute for Information Technology HIIT;Helsinki Institute for Information Technology HIIT;Helsinki Institute for Information Technology HIIT
Venue:
IEEE Pervasive Computing
Year:
2009

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Abstract

BeTelGeuse is an extensible data collection platform for mobile devices, which also automatically infers higher level context from sensor data. In this article, the authors introduce BeTelGeuse's architecture and current features, and evaluate its impact on mobile phone performance.