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.

Human Behavior Drift Detection in a Smart Home Environment

MASCIADRI, ANDREA;MATTEUCCI, MATTEO;SALICE, FABIO
2017-01-01

Abstract

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.
2017
HARNESSING THE POWER OF TECHNOLOGY TO IMPROVE LIVES
9781614997979
Behavioral drift detection; HMM; Likelihood ratio test; smart home; Biomedical Engineering; Health Informatics; Health Information Management
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1033884
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