Context‐aware environments: from specification to implementation

Abstract

Abstract: This paper deals with the problem of implementing a context model for a smart environment. The problem has already been addressed several times using many different data‐ or problem‐driven methods. In order to separate the modelling phase from implementation, we first represent the context model by a network of situations. Then, different implementations can be automatically generated from this context model depending on user needs and underlying perceptual components. Two different implementations are proposed in this paper: a deterministic one based on Petri nets and a probabilistic one based on hidden Markov models. Both implementations are illustrated and applied to real‐world problems.