Abstract
| Original language | English |
|---|---|
| Title of host publication | From Animals to Animats 14 : 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Aberystwyth, UK, August 23-26, 2016, Proceedings |
| Editors | Elio Tuci, Alexandros Giagkos, Myra Wilson, John Hallam |
| Publisher | Springer |
| Publication date | Aug 2016 |
| Pages | 79-90 |
| ISBN (Print) | 978-3-319-43487-2 |
| ISBN (Electronic) | 978-3-319-43488-9 |
| DOIs | |
| Publication status | Published - Aug 2016 |
| Event | The 14th International Conference on the Simulation of Adaptive Behavior - Aberystwyth University, Aberystwyth, United Kingdom Duration: 23. Aug 2016 → 26. Aug 2016 http://www.sab2016.org |
Conference
| Conference | The 14th International Conference on the Simulation of Adaptive Behavior |
|---|---|
| Location | Aberystwyth University |
| Country | United Kingdom |
| City | Aberystwyth |
| Period | 23/08/2016 → 26/08/2016 |
| Internet address |
| Series | Lecture Notes in Computer Science |
|---|---|
| Volume | 9825 |
| ISSN | 0302-9743 |
Fingerprint
Keywords
- Binaural acoustic tracking
- correlation learning
- lizard peripheral auditory system
Cite this
}
An Adaptive Neural Mechanism with a Lizard Ear Model for Binaural Acoustic Tracking. / Shaikh, Danish; Manoonpong, Poramate.
From Animals to Animats 14: 14th International Conference on Simulation of Adaptive Behavior, SAB 2016, Aberystwyth, UK, August 23-26, 2016, Proceedings. ed. / Elio Tuci; Alexandros Giagkos; Myra Wilson; John Hallam. Springer, 2016. p. 79-90 (Lecture Notes in Computer Science, Vol. 9825).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
TY - GEN
T1 - An Adaptive Neural Mechanism with a Lizard Ear Model for Binaural Acoustic Tracking
AU - Shaikh, Danish
AU - Manoonpong, Poramate
PY - 2016/8
Y1 - 2016/8
N2 - 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.
AB - 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.
KW - Binaural acoustic tracking
KW - correlation learning
KW - lizard peripheral auditory system
U2 - 10.1007/978-3-319-43488-9_8
DO - 10.1007/978-3-319-43488-9_8
M3 - Article in proceedings
SN - 978-3-319-43487-2
T3 - Lecture Notes in Computer Science
SP - 79
EP - 90
BT - From Animals to Animats 14
A2 - Tuci, Elio
A2 - Giagkos, Alexandros
A2 - Wilson, Myra
A2 - Hallam, John
PB - Springer
ER -