Part of the book series:Lecture Notes in Computer Science ((LNAI,volume 9222))
Included in the following conference series:
3825Accesses
Abstract
Dolphins identify objects using their sonar, which works by emitting short acoustic pulses with high bandwidth and high intensity. These echolocation impulses have a double chirp structure. The complex signal structure allows animals to collect more information than simply the distance to the object. They can evaluate object’s size, shape, and even the innards of the object, by processing the whole echo from the object.
The study of the dolphins’ clicks inspired a simulation of the signals for echolocation purposes. They are already used for object characterisation.
In addition, dolphins’ clicks are adaptive signals. Dolphins can change some parameters of the clicks during recognition process, which allows them to achieve better results for object characterisation.
This paper presents background and the main concept of the adaptive echolocation using bio-inspired signals. Implementation of adaptive echolocation is a new approach and can improve object characterisation and will help to achieve more accurate results.
This is a preview of subscription content,log in via an institution to check access.
Access this chapter
Subscribe and save
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
Buy Now
- Chapter
- JPY 3498
- Price includes VAT (Japan)
- eBook
- JPY 5719
- Price includes VAT (Japan)
- Softcover Book
- JPY 7149
- Price includes VAT (Japan)
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Houser, D.S., Helweg, D., Moore, P.: Classification of dolphin echolocation clicks by energy and frequency distributions. The Journal of the Acoustical Society of America106, 1579–1585 (1999)
Capus, C., Pailhas, Y., Brown, K., Lane, D.M., Moor, P., Houser, D.: Bio-inspired wideband sonar signals based on observations of the bottlenose dolphin (tursiops truncatus). The Journal of the Acoustical Society of America, 594–604 (2007)
Au, W., Floyd, R., Penner, R., Murchison, A.E.: Measurement of echolocation signals of the atlantic bottlenose dolphin, tursiops truncatus montagu, in open water. The Journal of the Acoustical Society of America56 (1974)
Herzing, D., dos Santos, M.E.: Functional aspects of echolocation in dolphins. University of Chicago Press, Chicago (2004)
Harris, F.J.: On the use of windows for harmonic analysis with the discrete fourier transform. Proceedings of the IEEE66 (1978)
Au, W.: The sonar of dolphins. Springer-Verlag, New York (1993)
Author information
Authors and Affiliations
Heriot-Watt University, Edinburdh, UK
Mariia Dmitrieva, Keith Brown & David Lane
- Mariia Dmitrieva
You can also search for this author inPubMed Google Scholar
- Keith Brown
You can also search for this author inPubMed Google Scholar
- David Lane
You can also search for this author inPubMed Google Scholar
Corresponding author
Correspondence toMariia Dmitrieva.
Editor information
Editors and Affiliations
University of Sheffield, Sheffield, United Kingdom
Stuart P. Wilson
Catalan Institution for Research and Advanced Studies, Universitat Pompeu Fabra, Barcelona, Spain
Paul F.M.J. Verschure
Universitat Pompeu Fabra, Barcelona, Spain
Anna Mura
University of Sheffield, Sheffield, United Kingdom
Tony J. Prescott
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Dmitrieva, M., Brown, K., Lane, D. (2015). Adaptive Bio-inspired Signals for Better Object Characterisation. In: Wilson, S., Verschure, P., Mura, A., Prescott, T. (eds) Biomimetic and Biohybrid Systems. Living Machines 2015. Lecture Notes in Computer Science(), vol 9222. Springer, Cham. https://doi.org/10.1007/978-3-319-22979-9_40
Download citation
Published:
Publisher Name:Springer, Cham
Print ISBN:978-3-319-22978-2
Online ISBN:978-3-319-22979-9
eBook Packages:Computer ScienceComputer Science (R0)
Share this paper
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative