Agnes Grünerbl, Gernot Bahle, Paul Lukowicz, Friedrich Hanser


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.   [Download]


@inproceedings {Grünerbl:Using:2011:6507,
	number = {}, 
	month = {}, 
	year = {2011}, 
	title = {Using Indoor Location to Assess the State of Dementia Patients: Results and Experience Report from a Long Term, Real World Study}, 
	journal = {}, 
	volume = {}, 
	pages = {32-39}, 
	publisher = {IEEE Computer Society}, 
	author = {Agnes Grünerbl, Gernot Bahle, Paul Lukowicz, Friedrich Hanser}, 
	keywords = {ambient assisted living, assessment, state of dementia, real-world study}