Active hearing mechanisms inspire adaptive amplification in an acoustic sensor system
Guerreiro, José and Reid, Andrew and Jackson, Joseph C. and Windmill, James F.C. (2018) Active hearing mechanisms inspire adaptive amplification in an acoustic sensor system. IEEE Transactions on Biomedical Circuits and Systems, 12 (3). pp. 655-664. ISSN 1932-4545 (https://doi.org/10.1109/TBCAS.2018.2827461)
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Abstract
Over many millions of years of evolution, nature has developed some of the most adaptable sensors and sensory systems possible, capable of sensing, conditioning and processing signals in a very power- and size-effective manner. By looking into biological sensors and systems as a source of inspiration, this paper presents the study of a bio-inspired concept of signal processing at the sensor level. By exploiting a feedback control mechanism between a front-end acoustic receiver and back-end neuronal based computation, a nonlinear amplification with hysteretic behavior is created. Moreover, the transient response of the front-end acoustic receiver can also be controlled and enhanced. A theoretical model is proposed and the concept is prototyped experimentally through an embedded system setup that can provide dynamic adaptations of a sensory system comprising a MEMS microphone placed in a closed-loop feedback system. It faithfully mimics the mosquito’s active hearing response as a function of the input sound intensity. This is an adaptive acoustic sensor system concept that can be exploit by sensor and system designers within acoustics and ultrasonic engineering fields.
ORCID iDs
Guerreiro, José ORCID: https://orcid.org/0000-0002-9187-0436, Reid, Andrew ORCID: https://orcid.org/0000-0003-0511-4640, Jackson, Joseph C. and Windmill, James F.C. ORCID: https://orcid.org/0000-0003-4878-349X;-
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Item type: Article ID code: 63721 Dates: DateEvent5 June 2018Published15 May 2018Published Online11 April 2018AcceptedNotes: (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components 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: 16 Apr 2018 09:21 Last modified: 11 Nov 2024 11:58 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/63721