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Self-Sustaining Acoustic Sensor With Programmable Pattern Recognition for Underwater Monitoring
- Source :
- IEEE Transactions on Instrumentation and Measurement. 68:2346-2355
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- Minimizing the power consumption of always-on sensors is crucial for extending the lifetime of battery-operated devices that are required to monitor events continuously and for long periods. This paper proposes a novel programmable $\mu \text{W}$ event-driven acoustic detector featuring “always-on” audio pattern recognition. The event-driven detector detects up to eight programmable spectral–temporal features extracted with a low-power single-channel analog circuit and classifies the features by an onboard microcontroller. The event-driven detector is combined with novel microbial fuel cells (MFCs) to achieve self-sustainability in an underwater scenario. Experimental results demonstrate that the power consumption of the detector is only $26.89~\mu \text{W}$ during always-on mode, achieving up to 59-dB sound pressure level of sensitivity. High detection accuracy of up to 95.89% in recognizing acoustic patterns has been experimentally verified. Accurate measurements with commercial MFCs demonstrate the capability to achieve self-sustainability in always-on monitoring.
- Subjects :
- energy harvesting
Computer science
business.industry
microbial fuel cells (MFCs)
020208 electrical & electronic engineering
Feature extraction
Detector
Pattern recognition
02 engineering and technology
event-driven sensor
Acoustic sensor
underwater monitoring
Intelligent sensor
Pattern recognition (psychology)
0202 electrical engineering, electronic engineering, information engineering
Sensitivity (control systems)
Artificial intelligence
Electrical and Electronic Engineering
Underwater
Sound pressure
business
Instrumentation
Subjects
Details
- ISSN :
- 15579662 and 00189456
- Volume :
- 68
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Instrumentation and Measurement
- Accession number :
- edsair.doi.dedup.....36bcbf259d6923afab5174f90c852f88
- Full Text :
- https://doi.org/10.1109/tim.2018.2890187