DocumentCode
1550486
Title
EEG for Automatic Person Recognition
Author
Campisi, Patrizio ; La Rocca, Daria ; Scarano, Gaetano
Author_Institution
Univ. Degli Studi Roma Tre, Rome, Italy
Volume
45
Issue
7
fYear
2012
fDate
7/1/2012 12:00:00 AM
Firstpage
87
Lastpage
89
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).
Keywords
biometrics (access control); electroencephalography; medical signal processing; EEG amplitude spectral density; EEG signal; automatic person recognition; biometric identifiers; electroencephalography; spatial distribution; Biometrics (access control); Computer security; Data security; Electroencephalography; Privacy; EEG; biometrics; electroencephalography; identity sciences;
fLanguage
English
Journal_Title
Computer
Publisher
ieee
ISSN
0018-9162
Type
jour
DOI
10.1109/MC.2012.233
Filename
6228581
Link To Document