Cognitive Biometrics: Challenges for the Future

  • Kenneth Revett
  • Sergio Tenreiro de Magalhães
Part of the Communications in Computer and Information Science book series (CCIS, volume 92)


Cognitive biometrics is a novel approach to user authentication/identification which utilises a biosignal based approach. Specifically, current implementations rely on the use of the electroencephalogram (EEG), electrocardiogram (ECG), and the electrodermal response (EDR) as inputs into a traditional authentication scheme. The scientific basis for the deployment of biosignals resides principally on their uniqueness -for instance the theta power band in adults presents a phenotypic/genetic correlation of approximately 75%. The numbers are roughly the same for ECG, with an heritability correlation for the peak-to-peak (R-R interval) times of over 77%. For EDR, the results indicate that there is approximately a 50% heritability score (h2). The challenge with respect to cognitive biometrics based on biosignals is to enhance the information content of the acquired data.


Cognitive biometrics EEG ECG EDR user authentication 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Kenneth Revett
    • 1
  • Sergio Tenreiro de Magalhães
    • 2
  1. 1.School of Electronics & Computer Science LondonUniversity of WestminsterEngland
  2. 2.Universidade Catolica PortuguesaBraga

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