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 [BibTeX] [Marc21]
Human Interaction Discovery in Smartphone Proximity Networks
Type of publication: Journal paper
Citation: Do_PUC_2012
Publication status: Accepted
Journal: Personal and Ubiquitous Computing
Year: 2012
Abstract: Since humans are fundamentally social beings and interact frequently with others in their daily life, understanding social context is of primary importance in building context-aware applications. In this paper, using smartphone Bluetooth as a proximity sensor to create social networks, we present a probabilistic approach to mine human interaction types in real life. Our analysis is conducted on Bluetooth data continuously sensed with smartphones for over one year from 40 individuals who are professionally or personally related. The results show that the model can automatically discover a variety of social contexts. We objectively validated our model by studying its predictive and retrieval performance.
Keywords:
Projects NOKIA
Idiap
Authors Do, Trinh-Minh-Tri
Gatica-Perez, Daniel
Editors Martin, Tom
Starner, Thad
Added by: [UNK]
Total mark: 0
Attachments
  • Do_PUC_2012.pdf
Notes