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

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  • 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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 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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