Averaged SSVEP recognition accuracies derived by the CCA, PCCA
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Last updated 05 junho 2024
SMC 2023 Program Monday October 2, 2023
PDF) Anti-noise Capability Improvement of Minimum Energy Combination Method for SSVEP Detection
Averaged SSVEP recognition accuracies derived by the CCA, PCCA, MwayCCA
Hybrid Brain-Computer Interface Systems: Approaches, Features, and Trends
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis – arXiv Vanity
Comparison of EEG signal preprocessing methods for SSVEP recognition
A Resource for Assessing Information Processing in the Developing Brain Using EEG and Eye Tracking
Full article: P300 Detection with Brain–Computer Interface Application Using PCA and Ensemble of Weighted SVMs
Multi-information improves the performance of CCA-based SSVEP classification
Comparison of EEG signal preprocessing methods for SSVEP recognition
A resource for assessing information processing in the developing brain using EEG and eye tracking
SSVEP recognition accuracies derived by the CCA, PCCA, MwayCCA and
A Review of EEG-Based Brain-Computer Interface Systems Design - Wenchang Zhang, Chuanqi Tan, Fuchun Sun, Hang Wu, Bo Zhang, 2018
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review. - Abstract - Europe PMC
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