Evaluation of action prediction method using inductive learning with N-gram

Being society aging, an intelligent room is needed for the aged or handicapped. The important ingredient of such a system is how to predict the next action. In this paper we describe how to solve the problem of predicting inhabitant action in an intelligent room that we called learning room. We have proposed a method to predict user action using inductive learning (IL) with N-gram. The system based on our proposed method is able to acquire the immanent causality rules automatically from data pairs by means of IL. Since our system unified IL and N-gram, it demonstrates good accuracy for the simulated data. The system showed high dynamic adaptive capability.