Mobile Context Provider for Social Networking

André C. Santos¹, João M.P. Cardoso², Diogo R. Ferreira¹, and Pedro C. Diniz¹

¹IST Technical University of Lisbon, Portugal
diogo.ferreira@ist.utl.pt

²Faculty of Engineering, University of Porto, Portugal

Abstract. The ability to infer user context based on a mobile device together with a set of external sensors opens up the way to new context-aware services and applications. In this paper, we describe a mobile context provider that makes use of sensors available in a smartphone as well as sensors externally connected via bluetooth. We describe the system architecture from sensor data acquisition to feature extraction, context inference and the publication of context information to well-known social networking services such as Twitter and Hi5. In the current prototype, context inference is based on decision trees, but the middleware allows the integration of other inference engines. Experimental results suggest that the proposed solution is a promising approach to provide user context to both local and network-level services.

LNCS 5872, p. 464 ff.

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