TY - GEN
T1 - A wind noise detection algorithm for monitoring infrasound using smartphone as a sensor device
AU - Nishimura, Ryouichi
AU - Sakamoto, Shuichi
AU - Suzuki, Yôiti
N1 - Funding Information:
The authors would like to thank to Dr. Suzuki at NICT for providing the data recorded by the anemometer. This work is partly supported by JSPS KAKENHI (17K01351).
Publisher Copyright:
© Springer International Publishing AG 2018.
PY - 2018
Y1 - 2018
N2 - Infrasound monitoring is promising for early warning systems to mitigate damage of disaster. However, wind noise contains the same frequency components as infrasound does, and they need to be separated. To achieve this purpose, a wind noise detection algorithm is proposed. Unlike conventional methods that typically use two microphones, the proposed method assumes that one pressure and one acoustic sensor is available. This assumption comes from a requirement that a smartphone is used as a sensor device. Wind noise is detected as anomaly detection of the microphone signal, using extreme value distribution. Comparing with the data obtained by an anemometer, it is shown that the proposed method successfully determines time periods where wind noise exists under a practical environment, depending on the condition of wind.
AB - Infrasound monitoring is promising for early warning systems to mitigate damage of disaster. However, wind noise contains the same frequency components as infrasound does, and they need to be separated. To achieve this purpose, a wind noise detection algorithm is proposed. Unlike conventional methods that typically use two microphones, the proposed method assumes that one pressure and one acoustic sensor is available. This assumption comes from a requirement that a smartphone is used as a sensor device. Wind noise is detected as anomaly detection of the microphone signal, using extreme value distribution. Comparing with the data obtained by an anemometer, it is shown that the proposed method successfully determines time periods where wind noise exists under a practical environment, depending on the condition of wind.
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U2 - 10.1007/978-3-319-63859-1_19
DO - 10.1007/978-3-319-63859-1_19
M3 - Conference contribution
AN - SCOPUS:85026639233
SN - 9783319638584
T3 - Smart Innovation, Systems and Technologies
SP - 145
EP - 152
BT - Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceedings of the 13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing,
A2 - Watada, Junzo
A2 - Jain, Lakhmi C.
A2 - Pan, Jeng-Shyang
A2 - Tsai, Pei-Wei
PB - Springer Science and Business Media Deutschland GmbH
T2 - 13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017
Y2 - 12 August 2017 through 15 August 2017
ER -