NDLI: Human recognition using transient auditory evoked potentials: a preliminary study

Content Provider	IET Digital Library
Author	Seha, Sherif Nagib Abbas Hatzinakos, Dimitrios
Abstract	This study presents a new technique for human recognition using transient auditory evoked potentials (AEPs). AEPs are electrical potentials that are triggered by stimulating ears with auditory stimulus reflecting the neural response from the cochlea to the auditory cortex. These signals feature some advantages over conventional biometric traits as they cannot be easily forged or stolen like fingerprints or faces. Moreover, these signals are cancellable and can be changed by modifying the auditory stimulus. This allows system reuse even if the registered signal was breached. To investigate the biometric potential of this signal, a database of ten subjects was collected where transient AEPs signals were recorded by stimulating the left and the right ears separately. Machine learning techniques were employed to extract unique features for each subject using 1D convolutional neural network. The proposed system was evaluated over single-session and two-session recordings. Moreover, a fusion of left and right ear stimulated AEP signals was adopted for performance improvement. Using single-session and two-session recordings, the proposed system achieved a correct recognition rate over 95% and an equal error rate below 7%. The achieved results show that AEPs carry subject discriminative features allowing the possibility of employing AEP signal as a biometric trait.
Starting Page	242
Ending Page	250
Page Count	9
ISSN	20474938
Volume Number	7
e-ISSN	20474946
Issue Number	Issue 3, May (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/7/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2017.0185
Journal	IET Biometrics
Publisher Date	2018-01-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	1D Convolutional Neural Network AEP Signal Auditory Evoked Potentials Auditory Stimulus Biology And Medical Computing Biomedical Engineering Biomedical Measurement And Imaging Biometric Traits Biomimetics Data Security Digital Signal Processing Electrical Potentials Equal Error Rate Feature Extraction Feedforward Neural Network Human Recognition Learning in AI Machine Learning Technique Medical Signal Processing Neural Computing Technique Recognition Rate Signal Processing And Detection Transient Auditory Evoked Potential
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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