Averaged SSVEP recognition accuracies derived by the CCA, PCCA
Por um escritor misterioso
Descrição
Frequency Recognition in SSVEP-based BCI using Multiset Canonical Correlation Analysis – arXiv Vanity
Brain Sciences, Free Full-Text
Frontiers A novel untrained SSVEP-EEG feature enhancement method using canonical correlation analysis and underdamped second-order stochastic resonance
27th Annual Computational Neuroscience Meeting (CNS*2018): Part One, BMC Neuroscience
Averaged SSVEP recognition accuracies derived by the CCA, PCCA, MwayCCA
Hybrid Brain-Computer Interface Systems: Approaches, Features, and Trends
Fractal based feature extraction technique for classifying EEG signal for color visualization tasks - IOS Press
A resource for assessing information processing in the developing brain using EEG and eye tracking
PDF) Multivariate synchronization index for frequency recognition of SSVEP-based brain–computer interface
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications
Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs - IOPscience
A Synchronized Hybrid Brain-Computer Interface System for Simultaneous Detection and Classification of Fusion EEG Signals. - Document - Gale Academic OneFile