%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Do_MDM_2011,
                      author = {Do, Trinh-Minh-Tri and Gatica-Perez, Daniel},
                    projects = {NOKIA},
                       month = jun,
                       title = {Contextual grouping: discovering real-life interaction types from longitudinal Bluetooth data},
                   booktitle = {12th International Conference on Mobile Data Management},
                        year = {2011},
                    abstract = {By exploiting built-in sensors, mobile smartphone have become attractive  options for large-scale sensing of human behavior as well as social interaction. In this paper, we present a new probabilistic model to analyze longitudinal dynamic social networks created by the physical proximity of people sensed continuously by the phone Bluetooth sensors. A new probabilistic model is proposed in order to jointly infer  emergent grouping modes of the community together with their temporal context. We present experimental results on a Bluetooth proximity network sensed with mobile smart-phones over 9 months of continuous real-life, and show the effectiveness of our method.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2011/Do_MDM_2011.pdf}
}