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. 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.
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). 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.
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