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Hidden Biometrics pp 45–69Cite as

EEG Biometrics for Person Verification

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Part of the book series: Series in BioEngineering ((SERBIOENG))

Abstract

The purpose of this chapter is to explore the idea of using EEG signals as a biometric modality to recognize individuals. Considered as a variant of Brain Computer Interface (BCI), the concept presented in this chapter deals with a Multi-Channel EEG using Emotiv Epoc system. Mainly, a special interest will be addressed to EEG maps analysis for persons recognition. For this purpose, a generic schema is considered, namely pre-processing, feature extraction, Matching/classification leading to a verification decision.

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Authors and Affiliations

  1. Université Paris-Est, LISSI, UPEC, 94400, Vitry sur Seine, France

    Bacary Goudiaby, Alice Othmani & Amine Nait-ali

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  1. Bacary Goudiaby
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  2. Alice Othmani
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  3. Amine Nait-ali
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Correspondence to Amine Nait-ali .

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Editors and Affiliations

  1. Université Paris-Est, LISSI, UPEC, Vitry sur Seine, France

    Amine Nait-ali

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Goudiaby, B., Othmani, A., Nait-ali, A. (2020). EEG Biometrics for Person Verification. In: Nait-ali, A. (eds) Hidden Biometrics. Series in BioEngineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-0956-4_3

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  • DOI: https://doi.org/10.1007/978-981-13-0956-4_3

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