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Proceedings Paper

Fly-ear inspired acoustic sensors for gunshot localization
Author(s): Haijun Liu; Luke Currano; Danny Gee; Benjamin Yang; Miao Yu
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Paper Abstract

The supersensitive ears of the parasitoid fly Ormia ochracea have inspired researchers to develop bio-inspired directional microphone for sound localization. Although the fly ear is optimized for localizing the narrow-band calling song of crickets at 5 kHz, experiments and simulation have shown that it can amplify directional cues for a wide frequency range. In this article, a theoretical investigation is presented to study the use of fly-ear inspired directional microphones for gunshot localization. Using an equivalent 2-DOF model of the fly ear, the time responses of the fly ear structure to a typical shock wave are obtained and the associated time delay is estimated by using cross-correlation. Both near-field and far-field scenarios are considered. The simulation shows that the fly ear can greatly amplify the time delay by ~20 times, which indicates that with an interaural distance of only 1.2 mm the fly ear is able to generate a time delay comparable to that obtained by a conventional microphone pair with a separation as large as 24 mm. Since the parameters of the fly ear structure can also be tuned for muzzle blast and other impulse stimulus, fly-ear inspired acoustic sensors offers great potential for developing portable gunshot localization systems.

Paper Details

Date Published: 5 May 2009
PDF: 10 pages
Proc. SPIE 7321, Bio-Inspired/Biomimetic Sensor Technologies and Applications, 73210A (5 May 2009); doi: 10.1117/12.821212
Show Author Affiliations
Haijun Liu, Univ. of Maryland, College Park (United States)
Luke Currano, Univ. of Maryland, College Park (United States)
Army Research Lab. (United States)
Danny Gee, Army Research Lab. (United States)
Benjamin Yang, Univ. of Maryland, College Park (United States)
Miao Yu, Univ. of Maryland, College Park (United States)


Published in SPIE Proceedings Vol. 7321:
Bio-Inspired/Biomimetic Sensor Technologies and Applications
Nicholas F. Fell; Venkataraman S. Swaminathan, Editor(s)

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