Subject Identification from Low-Density EEG-Recordings of Resting-States: A Study of Feature Extraction and Classification

Author:

Moctezuma Luis Alfredo,Molinas Marta

Publisher

Springer International Publishing

Reference32 articles.

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2. Jain, A.K., Ross, A., Uludag, U.: Biometric template security: challenges and solutions. In: Signal Processing Conference 13th European, pp. 1–4. IEEE (2005)

3. Valizadeh, S.A., Liem, F., Mérillat, S., Hänggi, J., Jäncke, L.: Identification of individual subjects on the basis of their brain anatomical features. Sci. Rep. 8(1), 5611 (2018)

4. Moctezuma, L.A., Molinas, M.: EEG-based subjects identification based on biometrics of imagined speech using EMD. In: Submitted to The 11th International Conference on Brain Informatics (BI 2018) (2018)

5. Moctezuma, L.A., Molinas, M., García, A.A.T., Pineda, L.V., Carrillo, M.: Towards an API for EEG-based imagined speech classification. In: International Conference on Time Series and Forecasting (2018)

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