Title :
A biometric-based covert warning system using EEG
Author :
Fei Su ; Huangling Zhou ; Zhiyin Feng ; Junshui Ma
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
fDate :
March 29 2012-April 1 2012
Abstract :
Covert Warning (CW) is a feature that allows an authorized person, when coerced, to secretly send out a warning message along with his/her personal identification. This concept was implemented in an identification system in this paper using brain-waves, i.e. Electroencephalogram (EEG), as the biometric modality. Our contribution is that we demonstrated clenching teeth producing robust signals, and proposed it as a novel CW solution to portable EEG-based biometric systems. When the volunteers were properly instructed, the CW messages were detected perfectly (i.e. 100% detection rate) in the new system. Meanwhile, the new system maintained its relatively high personal identification rate, when compared with the system without the CW feature.
Keywords :
alarm systems; authorisation; biometrics (access control); electroencephalography; medical signal processing; portable instruments; CW message detection; authorized person; biometric modality; biometric-based covert warning system; brainwaves; clenching teeth; electroencephalogram; identification system; personal identification; portable EEG-based biometric systems; robust signals; warning message; Accuracy; Brain modeling; Databases; Electroencephalography; Muscles; Robustness; System performance;
Conference_Titel :
Biometrics (ICB), 2012 5th IAPR International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4673-0396-5
Electronic_ISBN :
978-1-4673-0397-2
DOI :
10.1109/ICB.2012.6199830