A wind noise detection algorithm for monitoring infrasound using smartphone as a sensor device

Ryouichi Nishimura, Shuichi Sakamoto, Yôiti Suzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Intelligent Information Hiding and Multimedia Signal Processing - Proceedings of the 13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing,
EditorsJunzo Watada, Lakhmi C. Jain, Jeng-Shyang Pan, Pei-Wei Tsai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages145-152
Number of pages8
ISBN (Print)9783319638584
DOIs
Publication statusPublished - 2018
Event13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017 - Matsue, Shimane, Japan
Duration: 2017 Aug 122017 Aug 15

Publication series

NameSmart Innovation, Systems and Technologies
Volume82
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017
Country/TerritoryJapan
CityMatsue, Shimane
Period17/8/1217/8/15

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

Fingerprint

Dive into the research topics of 'A wind noise detection algorithm for monitoring infrasound using smartphone as a sensor device'. Together they form a unique fingerprint.

Cite this