2012 Fiscal Year Final Research Report
Development of EEG-based personal authentication by brain active region and phase synchronization analysis
Project/Area Number |
23650034
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Research Category |
Grant-in-Aid for Challenging Exploratory Research
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Allocation Type | Multi-year Fund |
Research Field |
Computer system/Network
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Research Institution | Oita National College of Technology |
Principal Investigator |
TSURU Koji 大分工業高等専門学校, 情報工学科, 教授 (70390549)
|
Project Period (FY) |
2011 – 2012
|
Keywords | 脳波 / 認証 / バイオメトリックス / BCI(Brain Computer Interface) / 判別分析 / 運動想起 / 事象関連電位 |
Research Abstract |
A problem of biometric personal authentication is a recent increase in fraud based on falsified biometric data concerning biological information. Brainwave features of each individual are unique and have the potential of biometric authentication. Therefore we investigated motor imagery for brainwave biometrics. We applied the cepstral analysis method and wavelet method to feature extraction for brainwave biometrics. As a result, testing the performance of our biometric system, we estimated the equal error rate (EER) values of 0.17. And identification rates were ranging from 0.7 to 0.8.
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Research Products
(14 results)