University of Cambridge > Talks.cam > Computer Laboratory Systems Research Group Seminar > A crowdsourced approach for mobile sensing: How distributed data mining meets mobile devices

A crowdsourced approach for mobile sensing: How distributed data mining meets mobile devices

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A mobile device’s battery lifetime, privacy, and smart use present challenges for the user, the developer and the device manufacturer. To get a good view of real smartphone world, we have conducted a collaborative analysis application called Carat (http://carat.cs.helsinki.fi/), which have collected measurements from over 750.000 mobile devices all over the world since 2012. Our current research aims to find new ways to look at the mobile device’s whole state, including system settings, subsystem variables, applications, ambient context, and user intents. The research aims to develop better energy models, tools, and recommendations on how to improve the device’s operation.

Ella Peltonen is a PhD student and a researcher in the NODES group led by professor Sasu Tarkoma, at University of Helsinki, Finland. Her research interests include distributed machine learning and data mining methods for large and ambiguous data sets. Her current work focuses on analysis applications for mobile sensing data. She will stay this October in Cambridge.

This talk is part of the Computer Laboratory Systems Research Group Seminar series.

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