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In 2009, Stephen Beeby of The University of Southampton led research into utilizing otoacoustic emissions for biometric identification. Devices equipped with a microphone could detect these subsonic emissions and potentially identify an individual, thereby providing access to the device, without the need of a traditional password.[15] It is speculated, however, that colds, medication, trimming one's ear hair, or recording and playing back a signal to the microphone could subvert the identification process.[16]
It has been found that distortion product otoacoustic emissions (DPOAE’s) have provided the most information for detecting mild hearing loss in high frequencies when compared to transient evoked otoacoustic emissions (TEOAE).[13] This is an indication that DPOAE’s can help with detecting an early onset of noise-induced hearing loss. A study measuring audiometric thresholds and DPOAEs among individuals in the military showed that there was a decrease in DPOAEs after noise exposure, but did not show a shift in audiometric threshold. This supports OAEs as predicting early signs of noise damage.[14]
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