The proposed system aims at elderly people independent living by providing an early indicator of habits changes which might be relevant for a diagnosis of diseases. It relies on Hidden Markov Model to describe the behavior observing sensors data, while Likelihood Ratio Test gives the variation within different time periods.
Keywords: Behavioral drift detection; Hidden Markov model (HMM); Likelihood ratio test; smart home.