State-of-the-art methods and future perspectives for personal recognition based on electroencephalogram signals

作者: Mohammed Abo‐Zahhad , Sabah Mohammed Ahmed , Sherif Nagib Abbas

DOI: 10.1049/IET-BMT.2014.0040

关键词: Speech recognitionComputer scienceHuman–computer interactionState (computer science)Focus (computing)IdentifierElectroencephalographyBiometricsFace (geometry)Still faceBrain waves

摘要: In the past decade, biomedical instrumentations have witnessed major developments and now it is very easy to measure human electrical signals. One of these signals brain waves, known as electroencephalogram (EEG) signals, which became be measured using portable devices dry electrodes. This opens way for use waves in different applications rather than diagnosis. most recent non-medical biometric authentication. Brain some advantages are not present commonly used identifiers, such face fingerprints, making them robust spoof attacks. However, still many challenges with reference permanence uniqueness. this study, authors discuss employment recognition tasks focus on facing towards deployment a practical system. also, provides comprehensive review proposed approaches developed EEG-based authentication systems.

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