An effective inference method 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

    1 Citation (Scopus)

    Abstract

    We have been investigating a symbiotic healthcare support system in ubiquitous computing environment. By using knowledge about healthcare and various kinds of information including vital sign, location information, and multimedia data of multiple object persons under observation of real world, the system provides useful information regarding health condition effectively and in user-oriented manner. This paper focuses on effective and real-time service provisioning using the information. The data and information including vital sign, location information, environmental information, multimedia data, specialized knowledge, etc. contain significant diverse aspects in both quantitative and qualitative. By using existing inference mechanisms, we cannot cope with these kinds of information and knowledge in real-time. In this work, we present an effective inference mechanism combining various kinds of sensor data and huge amount of knowledge on healthcare for providing healthcare information and services in real time.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages152-163
    Number of pages12
    Volume6019 LNCS
    EditionPART 4
    DOIs
    Publication statusPublished - 2010
    Event2010 International Conference on Computational Science and Its Applications, ICCSA 2010 - Fukuoka
    Duration: 2010 Mar 232010 Mar 26

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 4
    Volume6019 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other2010 International Conference on Computational Science and Its Applications, ICCSA 2010
    CityFukuoka
    Period10/3/2310/3/26

    Keywords

    • Healthcare support system
    • Ontology
    • Sensor data
    • Symbiotic computing

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

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  • Cite this

    Izumi, S., Kobayashi, Y., Takahashi, H., Suganuma, T., Kinoshita, T., & Shiratori, N. (2010). An effective inference method using sensor data for symbiotic healthcare support system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 4 ed., Vol. 6019 LNCS, pp. 152-163). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6019 LNCS, No. PART 4). https://doi.org/10.1007/978-3-642-12189-0-14