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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]
The evoked responses from these stimuli occur at frequencies ( {\displaystyle f_{dp}} ) mathematically related to the primary frequencies, with the two most prominent being {\displaystyle f_{dp}=2f_{1}-f_{2}} (the "cubic" distortion tone, most commonly used for hearing screening) and {\displaystyle f_{dp}=f_{2}-f_{1}} (the "quadratic" distortion tone, or simple difference tone).[6][7]
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