On the detection of footsteps based on acoustic and seismic sensing

Satish G. Iyengar, Pramod K. Varshney, Thyagaraju Damarla

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

38 Scopus citations

Abstract

In this work, we present a copula-based framework for integrating signals of different but statistically correlated modalities for binary hypothesis testing problems. Specifically, we consider the problem of detecting the presence of a human using footstep signals from seismic and acoustic sensors. An approach based on canonical correlation analysis and copula theory is employed to establish a likelihood ratio test. Experimental results based on real data are presented.

Original languageEnglish (US)
Title of host publicationConference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Pages2248-2252
Number of pages5
DOIs
StatePublished - Dec 1 2007
Event41st Asilomar Conference on Signals, Systems and Computers, ACSSC - Pacific Grove, CA, United States
Duration: Nov 4 2007Nov 7 2007

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other41st Asilomar Conference on Signals, Systems and Computers, ACSSC
CountryUnited States
CityPacific Grove, CA
Period11/4/0711/7/07

Keywords

  • Canonical correlation analysis
  • Copula theory
  • Footstep detection
  • Multisensor systems
  • Sensor fusion

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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    Iyengar, S. G., Varshney, P. K., & Damarla, T. (2007). On the detection of footsteps based on acoustic and seismic sensing. In Conference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC (pp. 2248-2252). [4487641] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2007.4487641