CNR developed DroidOppPathFinder, an Android path recommender application for fitness activity based on opportunistic sensing techniques and Mobile Social Networking functionality.

The application is developed on top of CAMEO, enriched with the implementation of a light-weight standard for data integration (Sensor Mobile Enablement) compliant with OGC-SWE, the reference standard for Sensor Web Services. In this way, DroidOppPathFinder exploits both

context- and social-aware CAMEO functionalities and the efficient management of heterogeneous sensing data on mobile devices.

More information are available upon request (franca.delmastro@iit.cnr.it).


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