A multivariable detection device based on a capacitive microphone and its application to security

Kajiro Watanabe, Tsukasa Ishigaki, Tomoyuki Higuchi

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Any sensor for detecting a certain physical variable is more or less influenced by other physical variables, which are designated as noise. The objective in conventional sensor design has been to minimize the noise. In this paper, however, we make use of sensing devices that are easily influenced by multiple physical variables and make full use of their multisensing characteristic. We consider such devices as multiple-inputsingle-output sensors. First, the output signal derived from multiple input signals must be dissociated. The input signals resulting from physical phenomena have inherent characteristics and can mathematically be modeled. Application of a Kalman filter realized by such models can provide estimates of the state variables of all input models, and thus, the input signals are dissociated. As an example, a novel sensor based on a microphone is presented. This sensor can detect various variables such as pressure and acceleration in the frequency range of 0.1 Hz to 10 kHz, temperature, and even light emission. We apply the sensor to monitor the symptoms of fire, earthquake, and break-in by an intruder from within a house.

Original languageEnglish
Article number5280362
Pages (from-to)1955-1963
Number of pages9
JournalIEEE Transactions on Instrumentation and Measurement
Volume59
Issue number7
DOIs
Publication statusPublished - 2010 Jul 1
Externally publishedYes

Keywords

  • Disaster
  • Kalman filter
  • Multivariable
  • Security
  • Smart sensor

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Instrumentation

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