Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 655-664 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Biomedical Circuits and Systems |
| Volume | 12 |
| Issue number | 3 |
| Early online date | 15 May 2018 |
| DOIs | |
| Publication status | Published - 5 Jun 2018 |
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Keywords
- bio-inspired acoustics
- adaptive sensor system
- active hearing
- nonlinear amplification
- compressive gain
- feedback computation
- real-time embedded signal processing
- prototyping
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Active hearing mechanisms inspire adaptive amplification in an acoustic sensor system. / Guerreiro, José; Reid, Andrew; Jackson, Joseph C.; Windmill, James F.C.
In: IEEE Transactions on Biomedical Circuits and Systems, Vol. 12, No. 3, 05.06.2018, p. 655-664.Research output: Contribution to journal › Article
TY - JOUR
T1 - Active hearing mechanisms inspire adaptive amplification in an acoustic sensor system
AU - Guerreiro, José
AU - Reid, Andrew
AU - Jackson, Joseph C.
AU - Windmill, James F.C.
N1 - (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.
PY - 2018/6/5
Y1 - 2018/6/5
N2 - 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.
AB - 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.
KW - bio-inspired acoustics
KW - adaptive sensor system
KW - active hearing
KW - nonlinear amplification
KW - compressive gain
KW - feedback computation
KW - real-time embedded signal processing
KW - prototyping
UR - https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4156126
U2 - 10.1109/TBCAS.2018.2827461
DO - 10.1109/TBCAS.2018.2827461
M3 - Article
VL - 12
SP - 655
EP - 664
JO - IEEE Transactions on Biomedical Circuits and Systems
JF - IEEE Transactions on Biomedical Circuits and Systems
SN - 1932-4545
IS - 3
ER -