Resident's activity at different abstraction levels: Proposition of a general theoretical framework

One of the major issues of monitoring activities in smart environments is the building of activity models from sensor's timed data. This paper proposes a general theoretical approach to this aim that provides operational results as it is illustrated with the prototypical home of the GerHome project. This proposal is based on the use of a Knowledge Engineering methodology and a Machine Learning process that are both funded on a general theory of dynamic process modeling, the Timed Observation Theory.