Averaged SSVEP recognition accuracies derived by the CCA, PCCA
Por um escritor misterioso
Last updated 15 abril 2025


Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis – arXiv Vanity

Comparison of EEG signal preprocessing methods for SSVEP recognition
A Synchronized Hybrid Brain-Computer Interface System for Simultaneous Detection and Classification of Fusion EEG Signals. - Document - Gale Academic OneFile

High-speed spelling with a noninvasive brain–computer interface

Cross-subject fusion based on time-weighting canonical correlation analysis in SSVEP-BCIs - ScienceDirect
A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials

Multi-information improves the performance of CCA-based SSVEP classification

Brainwave-Augmented Eye Tracker: High-Frequency SSVEPs Improves Camera-Based Eye Tracking Accuracy

Comparison of EEG signal preprocessing methods for SSVEP recognition

Multi-information improves the performance of CCA-based SSVEP classification

Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review. - Abstract - Europe PMC
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