Detecting irregular life behaviour at home using probabilistic finite automation life behaviour modeling

Abstract

 This paper proposes modeling of human behavior and a method of finding abnormal human behavior. Initial experimental results demonstrated usefulness of proposed model and method. Firstly, by analyzing human behavior based on observation of human habitual life, the analysis shows that human behavior can be regarded as probabilistic finite automata. Then a method of constructing human behavior knowledge and an algorithm to distinguish abnormal behavior different from habitual life behavior are described based on Hidden Markov Model. Finally, significance of proposed method is shown by some experimental results.