@article{Ste2013,
Author = {Steen, Enno-Edzard and Frenken, Thomas and Eichelberg, Marco and Frenken, Melina and Hein, Andreas},
Title = {Modeling individual healthy behavior using home automation sensor data: Results from a field trial},

Journal = {Journal of Ambient Intelligence and Smart Environments},
Year = {2013},
Number = {5},
Pages = {503–523},
Month = {11},
Edition = {5},
Doi = {10.3233/AIS-130222},
type = {article},
note = {A technical system for unobtrusive presence measurement and two novel models for describing user behavior in
domestic environments are presented. Within the developed models user behavior is either described as the probability of being
present at a cert},
Abstract = {A technical system for unobtrusive presence measurement and two novel models for describing user behavior in
domestic environments are presented. Within the developed models user behavior is either described as the probability of being
present at a certain location within an environment at a certain time on a day of the week or being present at a location for a
certain number of times with a certain duration. The models are called timeslot-based and duration-based. Both models have
been applied to presence information gathered by a technical system using home automation sensors. The system was installed
into two flats of older people during a field trial for eight months. Results of the experiment show that the two models can
be applied to describe user behavior. The influence of data structure and model quality on the detection of anomalies and the
generation of alarms is discussed. On the long-term, the approach aims at detecting cutbacks in self-care ability and changes
in health state by autonomously learning typical user behavior from presence information in a spatial model and by detecting
untypical behavior, called anomalies, and generating alarms for caretakers. Such automatic assessment of self-care ability and
health state is required in order to meet the increased challenges imposed to the decreasing number of care personal during the
progress of the demographic change.
}
}
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