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Augmenting Context Awareness by Combining Body Sensor Networks and Social Networks

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3 Author(s)
Rahman, M.A. ; Multimedia Commun. Res. Lab., Univ. of Ottawa, Ottawa, ON, Canada ; El Saddik, A. ; Gueaieb, W.

Due to recent advancements in social networks, many people can consume diversified services on a daily basis and have developed an association with different communities of interest (COIs) via these services. However, a person only accesses a subset of these services at a given time either to consume certain services or to share information with a COI. This paper tries to answer two important research questions: 1) “how to dynamically capture user context from heterogeneous sources” and 2) “which services and COI are related to any given context.” To address these two challenges, we propose a framework called SenseFace, which provides user context from two sources: 1) a body sensor network (BSN) and 2) multimedia information contained the within social network space. We present the detailed design and implementation of the framework and share our preliminary test results.

Published in:

Instrumentation and Measurement, IEEE Transactions on  (Volume:60 ,  Issue: 2 )

Date of Publication:

Feb. 2011

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