• 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