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Issue No.07 - July (2012 vol.45)
pp: 87-89
P. Campisi , Univ. Degli Studi Roma Tre, Rome, Italy
ABSTRACT
Electroencephalography is potentially more secure and privacy-compliant than traditional biometric identifiers. A related video can be seen here: http://youtu.be/5f0zflJRnvc. It depicts four maps representing the spatial distribution on the scalp of an EEG signal in time for the four bands Delta, Theta, Alpha, and Beta. Another related video can be seen here: http://youtu.be/X34pUw-4z_8. It depicts the spatial distribution on the scalp of an EEG amplitude spectral density (top) for frequencies ranging in the [1, 30] Hz interval (bottom).
INDEX TERMS
medical signal processing, biometrics (access control), electroencephalography, EEG amplitude spectral density, automatic person recognition, electroencephalography, biometric identifiers, spatial distribution, EEG signal, Electroencephalography, Biometrics (access control), Computer security, Privacy, Data security, EEG, identity sciences, biometrics, electroencephalography
CITATION
P. Campisi, "EEG for Automatic Person Recognition", Computer, vol.45, no. 7, pp. 87-89, July 2012, doi:10.1109/MC.2012.233
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