Towards a Framework for opportunistic Activity and Context Recognition
Marc Kurz, Alois Ferscha, Alberto Calatroni, Daniel Roggen, Gerhard Tr · 2010
Due to recent advancements in the development of sensor devices which results in increasing mobility and computing power and decreasing size and costs, this paper presents two features for a sensor-based opportunistic activity and context recognition enabling framework. Opportunistic in this context means that no sensor infrastructure has to be predefined at the design time of the system, it rather makes best use of the available sensor devices. Therefore, a framework must be capable of (i) dynamically routing the information and data between sensing and data processing entities and (ii) the dynamic incorporation of training sources for sensor devices. Besides the discussion of these two features, the paper introduces the OPPORTUNITY framework, which is a prototypical implementation of an opportunistic activity and context recognition system.