Cargando…
Robust Single-Trial EEG-Based Authentication Achieved with a 2-Stage Classifier
The risk of personal data exposure through unauthorized access has never been as imminent as today. To counter this, biometric authentication has been proposed: the use of distinctive physiological and behavioral characteristics as a form of identification and access control. One of the recent devel...
Autores principales: | Barayeu, Uladzislau, Horlava, Nastassya, Libert, Arno, Van Hulle, Marc |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7558120/ https://www.ncbi.nlm.nih.gov/pubmed/32933146 http://dx.doi.org/10.3390/bios10090124 |
Ejemplares similares
-
Predicting Premature Video Skipping and Viewer Interest from EEG Recordings
por: Libert, Arno, et al.
Publicado: (2019) -
Chronic Study on Brainwave Authentication in a Real-Life Setting: An LSTM-Based Bagging Approach
por: Yang, Liuyin, et al.
Publicado: (2021) -
EEG Authentication System Based on One- and Multi-Class Machine Learning Classifiers
por: Hernández-Álvarez, Luis, et al.
Publicado: (2022) -
Measuring brand association strength with EEG: A single-trial N400 ERP study
por: Camarrone, Flavio, et al.
Publicado: (2019) -
Evolutionary optimization of classifiers and features for single-trial EEG Discrimination
por: Åberg, Malin CB, et al.
Publicado: (2007)