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A method for studying how much time of EEG recording is needed to have a good user identification
Conference ObjectAbstract: Recently, several researchers have tried to develop reliable biometric systems based on biological sPalabras claves:biometric, Discrete Wavelet Transform, Electroencephalograms, Hyperparameter Selection, Recording timeAutores:Dustin Carrión-Ojeda, Gomez-Gil P., Hector Andres Mejia, Ramirez-Cortes M., Rigoberto Fonseca-DelgadoFuentes:scopusBIOMEX-DB: A Cognitive Audiovisual Dataset for Unimodal and Multimodal Biometric Systems
ArticleAbstract: Multimodal biometric schemes arise as an interesting solution to the multidimensional reinforcementPalabras claves:Biometrics, brain-computer, classification algorithms, electroencephalography, face recognition, image classification, multiple signal classification, speaker recognitionAutores:Arechiga-Martinez R., Atenco-Vazquez J.C., Gomez-Gil P., Moreno-Rodriguez J.C., Ramírez-Cortés M., Rigoberto Fonseca-DelgadoFuentes:googlescopusAnalysis of factors that influence the performance of biometric systems based on EEG signals
ArticleAbstract: Searching for new biometric traits is currently a necessity because traditional ones such as fingerpPalabras claves:Biometrics, Discrete Wavelet Transform, Electroencephalogram, Performance factorsAutores:Dustin Carrión-Ojeda, Israel Pineda, Rigoberto Fonseca-DelgadoFuentes:googlescopusCOVID-19 Fake News Detection Using Joint Doc2Vec and Text Features with PCA
Conference ObjectAbstract: With the current pandemic, it is imperative to stay up to date with the news and many sources contriPalabras claves:fake news, Principal Component Analysis, Text classificationAutores:Carlos Chipantiza, Hector Andres Mejia, Isidro Rafael Amaro, Jose Llumiquinga, Rigoberto Fonseca-DelgadoFuentes:googlescopusAlzheimer’s disease diagnosis system using electroencephalograms and machine learning models
ArticleAbstract: Alzheimer’s disease (AD) is a neurodegenerative disorder that gradually destroys brain cells causingPalabras claves:Alzheimer’s disease, Electroencephalograms, feature selection, Feed forward neural networksAutores:Graciela M. Salum, Isidro Rafael Amaro, Paola Martínez-Arias, Rigoberto Fonseca-DelgadoFuentes:googlescopusEBAPy: A Python framework for analyzing the factors that have an influence in the performance of EEG-based applications[Formula presented]
ArticleAbstract: EBAPy is an easy-to-use Python framework intended to help in the development of EEG-based applicatioPalabras claves:Discrete Wavelet Transform, EEG-based applications, Recording timeAutores:Dustin Carrión-Ojeda, Israel Pineda, Paola Martínez-Arias, Rigoberto Fonseca-DelgadoFuentes:googlescopus