Noise Reduction based on Wavelet Analysis for Human Body Vibration in Wireless Sensor Networks

カテゴリ: 部門大会

論文No: MC3-3

グループ名: 【C】平成17年電気学会電子・情報・システム部門大会講演論文集

発行日: 2005/09/06

タイトル(英語): Noise Reduction based on Wavelet Analysis for Human Body Vibration in Wireless Sensor Networks

著者名: 田茜 (早稲田大学),山内 規義(早稲田大学)

著者名(英語): Qian Tian(Waseda University),Noriyoshi Yamauchi(Waseda University)

キーワード: body vibration signal|model of noise reduction|wavelet|coefficient thresholding

要約(日本語): In this paper we present a novel model of noise reduction for the human body vibration signals in wireless

sensor networks, which assumes that the noise appears not continuously or periodically but sparsely and it

is the summary of some transient signals at discrete time with large energy compared with the body

vibration signals’ energy. Furthermore, on the base of the model a new algorithm is developed which

takes advantages of wavelet transforms to remove the noise by the method of processing wavelet

transformation coefficients at each scale. The results of the experiments indicate that the new algorithm

has removed the noise of the signals successfully in the case of both human’s one discrete action and

continuous activities. Finally, the system of noise reduction for body vibration signals in wireless sensor

networks to monitor human behavior is built based on our proposed method. In this system, accelerometers

placed in the position of body’s parts sense vibration signals and wireless sensor modules Ni3 is used to transmit the

sensing data to PC, on which the software collects data and remove its noise to obtain the new signals well

representing the body vibration condition. The system using the proposed method removes noise successfully and

provides robust data source for human behavior recognition.

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