Translating mobile sensor data into meaningful context descriptions

Magdalena Mucko

AbstractSensor enabled devices (in case of this thesis - mobile phones) can capture and process individual’s context information and transmit this data to remote locations without any human intervention. Everyone who has ever tried using the Internet for some time is aware of the social networking phenomenon. Such sites as Facebook, LinkedIn, and MySpace, as well as content-sharing services that also offer social networking functionality (including YouTube, Flickr) have captured the attention of millions of users.

This thesis approaches the concept of merging users’ context data with their social networking life. This work specifically focuses on utilization of the context information to deliver the most up to date knowledge about the user’s condition. That statement creates a foundation for development of the “ContextBox” application, which employs a small group of selected sensors, to deliver a concise view on the user’s current status.

Implementation of a prototype application and carrying out a user study allowed for a preliminary analysis of potential usability of selected solution and its research value.
TypeMaster's thesis [Academic thesis]
Year2010    Month May
Publication link
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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