Development of a biologically inspired MEMS microphone
Zhang, Y. and Bauer, R. and Whitmer, W.M. and Brimijoin, W.O. and Uttamchandani, D. and Windmill, J. F. C. and Jackson, J.C. (2017) Development of a biologically inspired MEMS microphone. In: IEEE SENSORS 2017, 2017-10-29 - 2017-11-01, Scottish Exhibition and Conference Centre. (https://doi.org/10.1109/ICSENS.2017.8234383)
Preview |
Text.
Filename: Zhang_etal_IEEESensors2017_Development_of_a_biologically_inspired_MEMS_microphone.pdf
Accepted Author Manuscript Download (994kB)| Preview |
Abstract
A multi-band operational MEMS microphone inspired by the hearing organ of Ormia ochracea is presented. The novel feature is that the device has both integrated capacitive and piezoelectric sensing capability. Similar to our previous designs, the new design works as a bi-directional microphone and has four separate resonance frequencies below 10 kHz, with intended application for human speech recognition scenarios. Since the capacitive sensing only depends on the displacement of the rotating plates, it provides 0.42 V/Pa acoustic sensitivity at the first, rocking resonance mode, while the electric response produced by the piezoelectric actuators is almost zero around the same frequency. However, the piezoelectric readout supports a faster transient response and produces less noise at low frequencies than the capacitive sensing method. The complementary interaction between these two sensing methods in one device thus increases the overall electrical response and its accuracy.
ORCID iDs
Zhang, Y., Bauer, R. ORCID: https://orcid.org/0000-0001-7927-9435, Whitmer, W.M., Brimijoin, W.O., Uttamchandani, D. ORCID: https://orcid.org/0000-0002-2362-4874, Windmill, J. F. C. ORCID: https://orcid.org/0000-0003-4878-349X and Jackson, J.C.;-
-
Item type: Conference or Workshop Item(Paper) ID code: 61722 Dates: DateEvent25 December 2017Published10 August 2017AcceptedNotes: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 06 Sep 2017 10:23 Last modified: 25 Nov 2024 01:33 URI: https://strathprints.strath.ac.uk/id/eprint/61722