Behaviour profiling with ambient and wearable sensing.
In: Leonhardt, S and Falck, T and Mahonen, P, (eds.)
4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007).
(pp. 133 - 138).
This paper investigates the combined use of ambient and wearable sensing for inferring changes in patient behaviour patterns. It has been demonstrated that with the use of wearable and blob based ambient sensors, it is possible to develop an effective visualization framework allowing the observation of daily activities in a homecare environment. An effective behaviour modelling method based on Hidden Markov Models (HMMs) has been proposed for highlighting changes in activity patterns. This allows for the representation of sequences in a similarity space that can be used for clustering or data-exploration.
|Title:||Behaviour profiling with ambient and wearable sensing|
|Event:||4th International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2007)|
|Location:||RWTH Aachen Univ, Aachen, GERMANY|
|Dates:||2007-03-26 - 2007-03-28|
|Keywords:||body sensor networks, similarity based clustering, blob sensors, behaviour profiling|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
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