Person localization through ground vibrations using a sand-scorpion inspired spiking neural network

Garreau, Guillaume; Proxenou, Eleni; Andreou, Andreas G.; Georgiou, Julius

doi:10.1109/ciss.2013.6552283

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Cited by 2 publications

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“…In our previous work (Garreau et al, 2013), we have demonstrated a system that performs person localization based on ground waves fed to a bio-inspired spiking neuron model without using ITD. The vibration data was collected using five seismic sensors (Mark Product L-15B 4.5 hz x,y,z geophones) positioned at the center of a circle.…”

Section: Introductionmentioning

confidence: 99%

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

2016

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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.

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Section: Introductionmentioning

confidence: 99%