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4. Resting-State Eeg-Based Biometrics With Signals Features Extracted By Multivariate Empirical Mode Decomposition

Resting-State Eeg-Based Biometrics With Signals Features Extracted By Multivariate Empirical Mode Decomposition

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IEEE ICASSP 2020 Virtual Conference May 2020

EEG-based biometrics has gained great attention in recent years due to its superiority over traditional biometrics in terms of its resistance to circumvention. While there are numerous choices of data acquisition protocol, the present study is carried out

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Resting-State Eeg-Based Biometrics With Signals Features Extracted By Multivariate Empirical Mode Decomposition

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EEG-based biometrics has gained great attention in recent years due to its superiority over traditional biometrics in terms of its resistance to circumvention. While there are numerous choices of data acquisition protocol, the present study is carried out