Polarization-cum-energy metric for footstep detection using vector-sensor

Divya Venkatraman*, Vinod V. Reddy, Andy W.H. Khong, B. P. Ng

*Corresponding author for this work

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

9 Citations (Scopus)

Abstract

We address the problem of human footstep detection using data recorded by a single tri-axial geophone. It is observed that footstep signature recorded using a vector-sensor is characterized by signal polarization, which, when exploited effectively, has the capability to identify footsteps at increasing source-sensor distances compared to existing techniques. We quantify the effect of signal polarization by fitting a great-arc using spherical linear interpolation (SLERP) to the data vectors after normalization. Furthermore, the signal polarization metric, which provides extended detection range, is combined with signal energy to form a robust polarization-cum-energy metric for efficient detection. Experimental results are presented to substantiate the performance of this technique.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Technologies for Homeland Security, HST 2011
Pages196-201
Number of pages6
DOIs
Publication statusPublished - 2011
Event11th IEEE International Conference on Technologies for Homeland Security, HST 2011 - Waltham, MA, United States
Duration: Nov 15 2011Nov 17 2011

Publication series

Name2011 IEEE International Conference on Technologies for Homeland Security, HST 2011

Conference

Conference11th IEEE International Conference on Technologies for Homeland Security, HST 2011
Country/TerritoryUnited States
CityWaltham, MA
Period11/15/1111/17/11

ASJC Scopus Subject Areas

  • Safety, Risk, Reliability and Quality

Keywords

  • Footstep detection
  • polarization
  • vector-sensor

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