Recognizing Activities with the Kinect: a logic-based approach for the support room
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2013-07-03
Language
en
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Abstract
The new support and seclusion rooms at the High Care Unit of the mental healthcare services
in Eindhoven are equipped with modern technologies, such as Ambient Experience and a large
touch screen interaction wall. This setting allows for the use of other technologies as well, such
as a monitoring system which can be used to get more information about the client to adjust the
care to their needs.
We developed a prototype for such a monitoring system in which we use 2 Kinect sensors to
record motion data of a person in a room. We will apply the event calculus on the recorded data
to recognize simple activities.
The event calculus is a logic-based approach, that we can use to reason about events in time
and their effects. A logic-based approach has the advantage that we can easily incorporate domain
knowledge into the recognition process. We can also reason more easily about the recognized
activities as we can de ne a more complex activity in terms of simpler activities. The approach
can be extended by defining more complex activities or by employing the probabilistic event
calculus.
As a proof of concept, we tested our recording and recognition system with healthy participants
in an offi ce environment. The participants were asked to perform easy tasks, for which we
could recognize simple activities, such as walking to a location, or walking around. We were also
able to recognize a bit more complex activities that built upon the simple activities. The results
are promising and suggestions for further research are made in this thesis as well.
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Faculteit der Sociale Wetenschappen