Publication
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, Pages 32-39, ISBN 978-0-7695-4452-6, IEEE Computer Society, 2011.
Abstract
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.