Data visualisation and data mining technology for supporting care for older people

Authors:
Nubia M. Gil;Nicolas A. Hine;John L. Arnott;Julienne Hanson;Richard G. Curry;Telmo Amaral;Dorota Osipovic
Affiliations:
University of Dundee;University of Dundee;University of Dundee;University College London;Imperial College;University of Dundee;University College London
Venue:
Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
Year:
2007

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Abstract

The overall purpose of the research discussed here is the enhancement of home-based care by revealing individual patterns in the life of a person, through modelling of the "busyness" of activity in their dwelling, so that care can be better tailored to their needs and changing circumstances. The use of data mining and on-line analytical processing (OLAP) is potentially interesting in this context because of the possibility of exploring, detecting and predicting changes in the level of activity of people's movement that may reflect change in well-being. An investigation is presented here into the use of data mining and visualisation to illustrate activity from sensor data from a trial project run in a domestic context.