A STUDY ON THE MODEL BASED FALL DETECTION SYSTEM USING MICROWAVE DOPPLER RADAR

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Other Title
  • マイクロ波ドップラーセンサを用いたモデルベースの転倒状態推定に関する研究
  • マイクロハ ドップラーセンサ オ モチイタ モデルベース ノ テントウ ジョウタイ スイテイ ニ カンスル ケンキュウ

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Abstract

 Falling is a common health problem for the elderly. “Bedridden elderly persons” is a medical and social problem, and it is mainly caused by falling. Conventional fall detection systems have various limitations such as privacy. In this study, we investigate the possibility of analyzing fall detection system based on the microwave Doppler radar. We developed a physical model to represent the Doppler signatures of falling and applied it to the fall detection system. To demonstrate the effectiveness of the proposed method, we conducted experiments to assess the accuracy of the fall detection. Results indicate that high accuracy was achieved when the method was implemented for fall detection system.

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  • CRID
    1390282679360421248
  • NII Article ID
    130006575672
  • NII Book ID
    AN10195854
  • DOI
    10.20551/jscswabun.30.1_17
  • ISSN
    21899789
    09148930
  • NDL BIB ID
    028847017
  • Text Lang
    ja
  • Data Source
    • JaLC
    • NDL
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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