Acoustic firearm discharge detection and classification in an enclosed environment

Lorenzo Luzi; Eric Gonzalez; Paul Bruillard; Matthew Prowant; James Skorpik; Michael Hughes; Scott Child; Duane Kist; John E. McCarthy

doi:10.1121/1.4948994

Acoustic firearm discharge detection and classification in an enclosed environment

Lorenzo Luzi, Eric Gonzalez, Paul Bruillard, Matthew Prowant, James Skorpik, Michael Hughes, Scott Child, Duane Kist, John E. McCarthy

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

Two different signal processing algorithms are described for detection and classification of acoustic signals generated by firearm discharges in small enclosed spaces. The first is based on the logarithm of the signal energy. The second is a joint entropy. The current study indicates that a system using both signal energy and joint entropy would be able to both detect weapon discharges and classify weapon type, in small spaces, with high statistical certainty.

Original language	English
Pages (from-to)	2723-2731
Number of pages	9
Journal	Journal of the Acoustical Society of America
Volume	139
Issue number	5
DOIs	https://doi.org/10.1121/1.4948994
State	Published - May 1 2016

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abstract = "Two different signal processing algorithms are described for detection and classification of acoustic signals generated by firearm discharges in small enclosed spaces. The first is based on the logarithm of the signal energy. The second is a joint entropy. The current study indicates that a system using both signal energy and joint entropy would be able to both detect weapon discharges and classify weapon type, in small spaces, with high statistical certainty.",

author = "Lorenzo Luzi and Eric Gonzalez and Paul Bruillard and Matthew Prowant and James Skorpik and Michael Hughes and Scott Child and Duane Kist and McCarthy, {John E.}",

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AU - Luzi, Lorenzo

AU - Gonzalez, Eric

AU - Bruillard, Paul

AU - Prowant, Matthew

AU - Skorpik, James

AU - Hughes, Michael

AU - Child, Scott

AU - Kist, Duane

AU - McCarthy, John E.

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N2 - Two different signal processing algorithms are described for detection and classification of acoustic signals generated by firearm discharges in small enclosed spaces. The first is based on the logarithm of the signal energy. The second is a joint entropy. The current study indicates that a system using both signal energy and joint entropy would be able to both detect weapon discharges and classify weapon type, in small spaces, with high statistical certainty.

AB - Two different signal processing algorithms are described for detection and classification of acoustic signals generated by firearm discharges in small enclosed spaces. The first is based on the logarithm of the signal energy. The second is a joint entropy. The current study indicates that a system using both signal energy and joint entropy would be able to both detect weapon discharges and classify weapon type, in small spaces, with high statistical certainty.

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Acoustic firearm discharge detection and classification in an enclosed environment

Abstract

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