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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 sensor scan 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.
Computational Science and Engineering, 2009. CSE '09. International Conference on (Volume:4 )
Date of Conference: 29-31 Aug. 2009