Recognizing aspiration presence using model parameter classification from microwave doppler signals

Shuhei Inui, Kosuke Okusa, Kurato Maeno, Toshinari Kanakura

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

4 被引用数 (Scopus)

抄録

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).

本文言語英語
ホスト出版物のタイトルInternational MultiConference of Engineers and Computer Scientists, IMECS 2012
編集者Jon Burgstone, S. I. Ao, Craig Douglas, W. S. Grundfest
出版社Newswood Limited
ページ509-512
ページ数4
ISBN(電子版)9789881925169
ISBN(印刷版)9789881925114
出版ステータス出版済み - 2012
外部発表はい
イベント2012 World Congress on Engineering and Computer Science, WCECS 2012 - San Francisco, 米国
継続期間: 10 24 201210 26 2012

出版物シリーズ

名前Lecture Notes in Engineering and Computer Science
1
ISSN(印刷版)2078-0958

その他

その他2012 World Congress on Engineering and Computer Science, WCECS 2012
国/地域米国
CitySan Francisco
Period10/24/1210/26/12

All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンス(その他)

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