  For improving e-health services, we propose a context-aware framework to
monitor the activities of daily living of dependent persons. We define a
strategy for generating long-term realistic scenarios and a framework
containing an adaptive monitoring algorithm based on three approaches for
optimizing resource usage. The used approaches provide a deep knowledge about
the person's context by considering: the person's profile, the activities and
the relationships between activities. We evaluate the performances of our
framework and show its adaptability and significant reduction in network,
energy and processing usage over a traditional monitoring implementation.
