Methods for using a biometric parameter in the identification of persons
Abstract
Brain waves are used as a biometric parameter to provide for authentication and identification of personnel. The brain waves are sampled using EEG equipment and are processed using phase-space distribution functions to compare digital signature data from enrollment of authorized individuals to data taken from a test subject to determine if the data from the test subject matches the signature data to a degree to support positive identification.
- Inventors:
-
- Philadelphia, TN
- Issue Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1032643
- Patent Number(s):
- 8065529
- Application Number:
- 11/804,966
- Assignee:
- UT-Battelle, LLC (Oak Ridge, TN)
- Patent Classifications (CPCs):
-
A - HUMAN NECESSITIES A61 - MEDICAL OR VETERINARY SCIENCE A61B - DIAGNOSIS
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 60 APPLIED LIFE SCIENCES
Citation Formats
Hively, Lee M. Methods for using a biometric parameter in the identification of persons. United States: N. p., 2011.
Web.
Hively, Lee M. Methods for using a biometric parameter in the identification of persons. United States.
Hively, Lee M. Tue .
"Methods for using a biometric parameter in the identification of persons". United States. https://www.osti.gov/servlets/purl/1032643.
@article{osti_1032643,
title = {Methods for using a biometric parameter in the identification of persons},
author = {Hively, Lee M},
abstractNote = {Brain waves are used as a biometric parameter to provide for authentication and identification of personnel. The brain waves are sampled using EEG equipment and are processed using phase-space distribution functions to compare digital signature data from enrollment of authorized individuals to data taken from a test subject to determine if the data from the test subject matches the signature data to a degree to support positive identification.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Nov 22 00:00:00 EST 2011},
month = {Tue Nov 22 00:00:00 EST 2011}
}
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Works referenced in this record:
On the use of EEG features towards person identification via neural networks
journal, January 2001
- Poulos, M.; Rangoussi, M.; Alexandris, N.
- Medical Informatics and the Internet in Medicine, Vol. 26, Issue 1
Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation
journal, April 2007
- Marcel, Sebastien; R. Millan, Jose
- IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, Issue 4