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Human Echolocation - Spatial Resolution and Signal Properties

Norman, L.; Thaler, L.

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Authors



Contributors

A. Balleri
Editor

H. Griffiths
Editor

C. Baker
Editor

Abstract

This paper will focus on the echolocation abilities of humans, describing the acoustic properties of their emissions as well as the acuity with which they are able to discriminate certain object properties - distance, angle (horizontal and vertical), size, shape and material - and the various cues that they might use to do this. Chapter Contents: 10.1 Introduction and background 10.2 Acoustic properties of human sonar emissions 10.3 Environmental factors 10.4 Localising objects in space 10.4.1 Localising objects in depth (ranging): signal properties 10.4.2 Localising objects in depth (ranging): spatial resolution of human echolocators 10.4.3 Localising objects in the horizontal plane (azimuth): signal properties 10.4.4 Localising objects in the horizontal plane: spatial resolution of human echolocators 10.4.5 Localising objects in the vertical plane (elevation) 10.5 Discriminating object size, shape and material 10.6 Concluding comments and future directions References

Citation

Norman, L., & Thaler, L. (2017). Human Echolocation - Spatial Resolution and Signal Properties. In A. Balleri, H. Griffiths, & C. Baker (Eds.), Biologically-inspired radar and sonar : lessons from nature (209-227). Institution of Engineering and Technology (IET). https://doi.org/10.1049/sbra514e_ch10

Online Publication Date Jul 1, 2017
Publication Date Jul 1, 2017
Deposit Date Aug 29, 2017
Publicly Available Date Aug 30, 2017
Publisher Institution of Engineering and Technology (IET)
Pages 209-227
Series Title Radar, sonar & navigation
Book Title Biologically-inspired radar and sonar : lessons from nature.
Chapter Number 10
ISBN 9781613532355
DOI https://doi.org/10.1049/sbra514e_ch10
Public URL https://durham-repository.worktribe.com/output/1662154
Contract Date Jun 1, 2017

Files

Accepted Book Chapter (1.1 Mb)
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Copyright Statement
This is a preprint of a chapter accepted by Biologically-Inspired Radar and Sonar: Lessons from nature, 2017 and is subject to Institution of Engineering and Technology Copyright. The final version is available at IET Digital Library






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