Year: 2004
Type: article
Abstract: This work presents initial findings from an investigation into the use of otoacoustic emissions (OAEs) for identifying individuals. A data set of 2009 neonate transient otoacoustic emissions was quantified for uniqueness using the Euclidean distance separation of the power spectra. Each sample was compared to all the others and the minimum separation recorded. The percentage separation for 50%, 95%, and 99% of the sample set was calculated and the distribution of the minimum separation plotted. The minimum separation between samples was 1.84% while 99% of the samples had a separation of 3.68%. A simple technique was able to achieve a separation of 3.68% for 99% of the data set, indicating it is highly likely that otoacoustic emissions are unique to an individual and of potential use as a biometric variable in an identification system.
DOI: 10.1121/1.1771712
Institution: University of Southampton
Language: English
Subfield: Sensory Systems
Field: Neuroscience
Domain: Life Sciences
Open Access status: bronze
Funder: University of Southampton
OpenAlex ID: W2087640634