DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis

DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis

Recent advancements in Electroencephalographic (EEG) sensor technologies and signal processing algorithms have paved the way for further evolution of Brain Computer Interfaces (BCI) in several practical applications, ranging from rehabilitation systems to smart consumer technologies. When it comes t...

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Bibliographic Details
Main Authors: Raika Karimi, Arash Mohammadi, Amir Asif, Habib Benali
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
steady-state motion evoked potentials
EEG signals
Brain Computer Interfaces
Online Access:https://www.mdpi.com/1424-8220/22/7/2568

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