An Adaptive Neural Mechanism with a Lizard Ear Model for Binaural Acoustic Tracking

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstrakt

Acoustic tracking of a moving sound source is relevant in many domains including robotic phonotaxis and human-robot interaction. Typical approaches rely on processing time-difference-of-arrival cues obtained via multi-microphone arrays with Kalman or particle filters, or other computationally expensive algorithms. We present a novel bioinspired solution to acoustic tracking that uses only two microphones. The system is based on a neural mechanism coupled with a model of the peripheral auditory system of lizards. The peripheral auditory model provides sound direction information which the neural mechanism uses to learn the target’s velocity via fast correlation-based unsupervised learning. Simulation results for tracking a pure tone acoustic target moving along a semi-circular trajectory validate our approach. Three different angular velocities in three separate trials were employed for the validation. A comparison with a Braitenberg vehicle-like steering strategy shows the improved performance of our learning-based approach.
OriginalsprogEngelsk
TitelFrom Animals to Animats 14 : 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Aberystwyth, UK, August 23-26, 2016, Proceedings
RedaktørerElio Tuci, Alexandros Giagkos, Myra Wilson, John Hallam
ForlagSpringer
Publikationsdatoaug. 2016
Sider79-90
ISBN (Trykt)978-3-319-43487-2
ISBN (Elektronisk)978-3-319-43488-9
DOI
StatusUdgivet - aug. 2016
BegivenhedThe 14th International Conference on the Simulation of Adaptive Behavior - Aberystwyth University, Aberystwyth, Storbritannien
Varighed: 23. aug. 201626. aug. 2016
http://www.sab2016.org

Konference

KonferenceThe 14th International Conference on the Simulation of Adaptive Behavior
LokationAberystwyth University
LandStorbritannien
ByAberystwyth
Periode23/08/201626/08/2016
Internetadresse
NavnLecture Notes in Computer Science
Vol/bind9825
ISSN0302-9743

Fingeraftryk Dyk ned i forskningsemnerne om 'An Adaptive Neural Mechanism with a Lizard Ear Model for Binaural Acoustic Tracking'. Sammen danner de et unikt fingeraftryk.

Citationsformater