Modeling situations in an intelligent connected furniture environment

Abstract

The Internet of Thing allows objects and services to interact with each other. The goal of this study is to recognize high level states of the rooms and more generally of the home. We want to be able to obtain intermediate states like “someone is in the kitchen” or “night mode”. In the specific case of home activity and state measurement, we consider that a set of furniture units is especially suitable for providing low level information. Recognizing and identifying house states or other high level information can be done using several methods. In this paper, we present an ontology based method. In the following, a situation is considered to be realized when the hypothesis which represents it are fulfilled. Using this approach, we show that multiple instances of situation context are distinguishable.