Sound Source Localization through 8 MEMS Microphones Array Using a Sand-Scorpion-Inspired Spiking Neural Network

Sand-scorpions and many other arachnids perceive their environment by using their feet to sense ground waves. They are able to determine amplitudes the size of an atom and locate the acoustic stimuli with an accuracy of within 13° based on their neuronal anatomy. We present here a prototype sound so...

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Bibliographic Details
Published in:Frontiers in neuroscience 2016-10, Vol.10, p.479-479
Main Authors: Beck, Christoph, Garreau, Guillaume, Georgiou, Julius
Format: Article
Language:English
Subjects:
Acoustic localization
Acoustics
Algorithms
bio-inspired
Circuits
Feet
Firing pattern
Localization
Microelectromechanical systems
Microphone array
Microphones
Neural networks
Neuromorphic
Neuroscience
Sand
Sensors
spiking-neurons
Standard deviation
Surveillance
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Summary:Sand-scorpions and many other arachnids perceive their environment by using their feet to sense ground waves. They are able to determine amplitudes the size of an atom and locate the acoustic stimuli with an accuracy of within 13° based on their neuronal anatomy. We present here a prototype sound source localization system, inspired from this impressive performance. The system presented utilizes custom-built hardware with eight MEMS microphones, one for each foot, to acquire the acoustic scene, and a spiking neural model to localize the sound source. The current implementation shows smaller localization error than those observed in nature.
ISSN:1662-4548
1662-453X
1662-453X
DOI:10.3389/fnins.2016.00479