In this paper, we describe an approach to activity recognition, which is based on a self-organizing, ad hoc network of body-worn
sensors. It makes best use of the available sensors, and autonomously adapts to dynamically varying sensor setups in terms
of changing sensor availabilities, characteristics and on-body locations. For a widespread use of activity recognition systems,
such an ... [Show full abstract] opportunistic approach is better suited than a fixed and application-specific deployment of sensor systems, as it
unburdens the user from placing specific sensors at pre-defined locations on his body. The main contribution of this paper
is the presentation of an interaction model for the self-organization of sensor nodes, which enables a cooperative recognition
of activities according to the demands of a user’s mobile device. We implemented it with an embedded system platform, and
conducted an evaluation showing the feasibility and performance of our approach.