A knowledge filtering scheme using sensor data for symbiotic healthcare support system

Satoru Izumi, Yusuke Kobayashi, Hideyuki Takahashi, Takuo Suganuma, Tetsuo Kinoshita, Norio Shiratori

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    We propose a knowledge filtering scheme using sensor data for symbiotic healthcare support system which manages health conditions of multiple persons effectively. This scheme extracts a manageable and needed portion from a huge amount of knowledge in the various perspectives related ubiquitous information environment for effective service provision. In this paper, we introduce the design of our proposed scheme and confirm its effectiveness from the experiments.

    Original languageEnglish
    Title of host publicationProceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010
    Pages619-624
    Number of pages6
    DOIs
    Publication statusPublished - 2010
    Event9th IEEE International Conference on Cognitive Informatics, ICCI 2010 - Beijing
    Duration: 2010 Jul 72010 Jul 9

    Other

    Other9th IEEE International Conference on Cognitive Informatics, ICCI 2010
    CityBeijing
    Period10/7/710/7/9

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Information Systems

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