• DocumentCode
    3117859
  • Title

    An Approach for Incorporating End User Knowledge into Applications of Information Extraction Classification and Fusion in Institutional Eldercare

  • Author

    Hsia, C.-C. ; Liou, K.J. ; Aung, A.P.W. ; Foo, S.F. ; Huang, Wei ; Biswas, J.

  • Author_Institution
    ICT-Enabled Healthcare Program, Ind. Technol. Res. Inst., Tainan, Taiwan
  • fYear
    2009
  • fDate
    14-16 Dec. 2009
  • Firstpage
    415
  • Lastpage
    420
  • Abstract
    Sensor-based smart spaces have been developed to help caring of the elderly. Selection of sensors, layout of smart space, design of fusion algorithms, and knowledge of domain experts are critical to the development of a useful ICT system for caring the elderly in the institutional facilities. We apply multi-modal sensor fusion technique to improve the confidence level of our system, and leverage the knowledge of domain experts, which is stored in ontology database, to detect the sequence of events that can lead to dangerous situations.
  • Keywords
    health care; information retrieval; ontologies (artificial intelligence); pattern classification; sensor fusion; ICT system; information extraction classification; information fusion; institutional eldercare; multimodal sensor fusion technique; ontology database; sensor-based smart spaces; Algorithm design and analysis; Data mining; Databases; Event detection; Intelligent sensors; Multimodal sensors; Ontologies; Senior citizens; Sensor fusion; Sensor systems; context representation; multi-modal data fusion; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Systems, Algorithms, and Networks (ISPAN), 2009 10th International Symposium on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4244-5403-7
  • Type

    conf

  • DOI
    10.1109/I-SPAN.2009.17
  • Filename
    5381566