The University of Southampton
University of Southampton Institutional Repository

Using Otoacoustic Emissions as a Biometric

Swabey, Matthew, Beeby, Stephen, Brown, Andrew and Chad, John, (2004) Using Otoacoustic Emissions as a Biometric Zhang, D and Jain, A N (eds.) At First International Conference on Biometric Authentication (ICBA 2004). , pp. 600-606.

Record type: Conference or Workshop Item (Other)


This paper presents research into using otoacoustic emissions (OAE) as a biometric. OAE are a group of sounds emitted by the cochlea of the ear. The main types are spontaneous OAE which are continuously emitted and the transient and distortion product types which are emitted after stimulation. In this paper the characteristics of OAE are examined to determine the most suitable emission for use as a physiological biometric. The uniqueness of transient OAE are characterised from a data set of 2009 random individuals by a closed rank test. Details of a low-cost portable prototype OAE acquisition system developed at Southampton University are discussed.

PDF suitoto1.pdf - Other
Download (129kB)

More information

Published date: 2004
Additional Information: Awarded Best Paper Prize Event Dates: 15-17th July 2004
Venue - Dates: First International Conference on Biometric Authentication (ICBA 2004), 2004-07-17
Keywords: Otoacoustic emmisions, biometrics
Organisations: Electronic & Software Systems, EEE


Local EPrints ID: 260480
ISBN: 3-540-22146-8
PURE UUID: 0177d236-0b80-4769-b65c-0c0afbf0b203
ORCID for Stephen Beeby: ORCID iD

Catalogue record

Date deposited: 08 Feb 2005
Last modified: 18 Jul 2017 09:12

Export record


Author: Matthew Swabey
Author: Stephen Beeby ORCID iD
Author: Andrew Brown
Author: John Chad
Editor: D Zhang
Editor: A N Jain

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.