DocumentCode
3656436
Title
Supporting Cognitive Skills of People Suffering from Dementia through a Sensor-Based System
Author
Anastasios Karakostas;Ioulietta Lazarou;Georgios Meditskos;Thanos G. Stavropoulos;Ioannis Kompatsiaris;Magda Tsolaki
Author_Institution
Centre for Res. &
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
460
Lastpage
461
Abstract
Cognitive Rehabilitation aims to enable people with cognitive impairments to optimize their cognitive functioning in the everyday context, in order to prevent or reduce excess disability, and thus improve quality of life and well-being. This paper presents the main elements of a sensor-based system to support cognitive skills of people suffering from Alzheimer disease (AD) and dementia. The system monitors the patients at their homes during the performance of daily activities. Different types of sensors are used for monitoring the patients, while a graphical user interface a) enables the clinicians to access and visualize the results and b) supports the patients through specific interventions. The sensor data is semantically integrated and analyzed using knowledge-driven interpretation techniques based on Semantic Web technologies. Overall, this paper presents a) the system, b) cognitive rehabilitation scenarios and c) the relevant evaluation methods.
Keywords
"Sensors","Dementia","Sleep apnea","Monitoring","Cameras","Plugs"
Publisher
ieee
Conference_Titel
Advanced Learning Technologies (ICALT), 2015 IEEE 15th International Conference on
Type
conf
DOI
10.1109/ICALT.2015.129
Filename
7265381
Link To Document