  Recognizing the activities of daily living plays an important role in
healthcare. It is necessary to use an adapted model to simulate the human
behavior in a domestic space to monitor the patient harmonically and to
intervene in the necessary time. In this paper, we tackle this problem using
the hierarchical hidden Markov model for representing and recognizing complex
indoor activities. We propose a new grammar, called "Home By Room Activities
Language", to facilitate the complexity of human scenarios and consider the
abnormal activities.
