A 'need to know' system for group classification

Authors:
Wen Dong;Jonathan Gips;Alex (Sandy) Pentland
Affiliations:
The MIT Media Laboratory, Cambridge, MA;The MIT Media Laboratory, Cambridge, MA;The MIT Media Laboratory, Cambridge, MA
Venue:
Proceedings of the 8th international conference on Multimodal interfaces
Year:
2006

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Abstract

This paper outlines the design of a distributed sensor classification system with abnormality detection intended for groups of people who are participating in coordinated activities. The system comprises an implementation of a distributed Dynamic Bayesian Network (DBN) model called the Influence Model (IM) that relies heavily on an inter-process communication architecture called Enchantment to establish the pathways of information that the model requires. We use three examples to illustrate how the "need to know" system effectively recognizes the group structure by simulating the work of cooperating individuals.