Using Indoor Location to Assess the State of Dementia Patients: Results and Experience Report from a Long Term, Real World Study

Agnes Grünerbl, Gernot Bahle, Paul Lukowicz, Friedrich Hanser

In: Proceedings of the 2011 Seventh International Conference on Intelligent Environments. International Conference on Intelligent Environments (IE-2011) 7th July 25-28 Nottingham United Kingdom Seiten 32-39 ISBN 978-0-7695-4452-6 IEEE Computer Society 2011.


The paper describes a year-long experiment dedicated to the development, deployment and evaluation of a system for coarse assessment of the state of dementia patients in a real world nursing home. The system is based on the analysis of users' motion patterns between broadly defined, semantically meaningful areas of the living space. On a data set recorded from six inhabitants in different stages of dementia during a year (a total of about 900 individual daily traces organized in groups of 14 days) a recognition accuracy of 92% is demonstrated for a two state problem (positive, negative)with 3 subjects having perfect (100%) recognition. For the 3 state problem (positive, normal, negative) we get 80% with one case of perfect recognition. We present an elaborate evaluation of the methods' performance and describe relevant practical issues involved in the design and deployment in the nursing home.

Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence