%Aigaion2 BibTeX export from IfE Document Management System
%Wednesday 16 May 2012 11:07:39 PM

@INPROCEEDINGS{wirz09_socialcom,
     author = {Wirz, Martin and Roggen, Daniel and Tr{\"{o}}ster, Gerhard},
   keywords = {collective behavior, reality mining, sensor network},
      month = aug,
      title = {Decentralized Detection of Group Formations from Wearable Acceleration Sensors},
  booktitle = {Proceedings of the 2009 IEEE International Conference on Social Computing},
       year = {2009},
      pages = {IEEE Press},
   abstract = {We propose an approach for detecting collective behavior patterns using body-worn sensors in a decentralized, online manner. To reduce complexity, we introduce a set of collective behavior primitives as building blocks, adequate for detection by sensing and communications means. With this, we present a generic distributed signal processing procedure suitable for a decentralized detection of these behavior blocks. In an experiment, we verify relevant elements of this procedure by evaluating towards which extend body-worn acceleration sensors can be used to infer whether a set of people is walking together as a coherent group. Early results discussed demonstrate the feasibility of our approach, leading to an outline of next steps for reliable detection of collective behavior patterns in real-life.}
}