Statistical recognition of aspiration presence

Shuhei Inui, Kosuke Okusa, Kurato Maeno, Toshinari Kamakura

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


    A study on the healthcare application is very important for the solitary death in aging society. Many previous works had been proposed a detection method of aspiration using the non-contact radar. But the works are only in subjects with sitting in a chair. We consider that user falls down in the state when he happen abnormal situation as daily life. In this study, we focus on the detection of "aspiration" or "apnea" for the lying position, because the final decision of the life or death is aspiration. As initial stage of the system, we propose the recognition method for the presence of aspiration with lying position under the low-disturbance environment from microwave Doppler signals by using support vector machine (SVM).

    Original languageEnglish
    Title of host publicationIAENG Transactions on Engineering Technologies - Special Issue of the World Congress on Engineering and Computer Science 2012
    PublisherSpringer Verlag
    Number of pages13
    ISBN (Print)9789400768178
    Publication statusPublished - 2014
    EventWorld Congress on Engineering and Computer Science, WCECS 2012 - San Francisco, CA, United States
    Duration: Oct 24 2012Oct 26 2012

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume247 LNEE
    ISSN (Print)1876-1100
    ISSN (Electronic)1876-1119


    OtherWorld Congress on Engineering and Computer Science, WCECS 2012
    Country/TerritoryUnited States
    CitySan Francisco, CA

    All Science Journal Classification (ASJC) codes

    • Industrial and Manufacturing Engineering


    Dive into the research topics of 'Statistical recognition of aspiration presence'. Together they form a unique fingerprint.

    Cite this