Smartphone bluetooth based social sensing

Authors:
Zhixian Yan;Jun Yang;Emmanuel Munguia Tapia
Affiliations:
Samsung Research America - Silicon Valley, San Jose, CA, USA;Samsung Research America - Silicon Valley, San Jose, CA, USA;Samsung Research America - Silicon Valley, San Jose, CA, USA
Venue:
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Year:
2013

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Abstract

The increasing mobile technology raises a new paradigm of people-centric sensing using today's smartphones. Towards this paradigm, we present "CoSoBlue", a novel framework for Bluetooth based social sensing. In CoSoBlue, we propose novel Bluetooth semantic and statistical features, in addition to count and similarity features, and apply these discriminative features to infer context and compute sociability. We evaluate CoSoBlue on two Bluetooth datasets: (1) the longitudinal MIT friend-and-family dataset with 9+ millions records, and (2) a new 2-month dataset with ground-truth labels collected using our own developed Android app. Our primilinary experiments show CoSoBlue's efficacy on Bluetooth based social and context sensing.