Abstract
Smart homes play an important role in e-health monitoring, using the various components and devices that intercommunicate with the home system. Thus, it has a huge impact on medical processes, healthcare practices and safety of elder people. Existing e-health monitoring systems do not include optimized techniques which learn the precise patient's behavior to predict future important changes. In this work, we propose a new context-aware system, which monitors daily living activities and evaluates dependency based on the Functional Autonomy Measurement System (SMAF). In fact, our system evaluates a person's dependency, predicts its health condition, detects abnormal situations and risky behavioral changes and offers adapted services.
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