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Cognitive Biometrics: Challenges for the Future

  • Conference paper
Global Security, Safety, and Sustainability (ICGS3 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 92))

Abstract

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.

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Author information

Authors and Affiliations

  1. School of Electronics & Computer Science London, University of Westminster, England

    Kenneth Revett

  2. Universidade Catolica Portuguesa, R. de Camoes, 4710-362, Braga

    Sergio Tenreiro de Magalhães

Authors
  1. Kenneth Revett
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  2. Sergio Tenreiro de Magalhães
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Editor information

Editors and Affiliations

  1. Universidade Católica Portuguesa, R. de Camões, Braga, Portugal

    Sérgio Tenreiro de Magalhães

  2. School of Computing and Information Technology and Engineering, University of East London, London,, UK

    Hamid Jahankhani

  3. Systems Assurance, City University, London, UK

    Ali G. Hessami

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Revett, K., de Magalhães, S.T. (2010). Cognitive Biometrics: Challenges for the Future . In: Tenreiro de Magalhães, S., Jahankhani, H., Hessami, A.G. (eds) Global Security, Safety, and Sustainability. ICGS3 2010. Communications in Computer and Information Science, vol 92. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15717-2_10

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  • DOI: https://doi.org/10.1007/978-3-642-15717-2_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15716-5

  • Online ISBN: 978-3-642-15717-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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