A novel training-free recognition method for SSVEP-based BCIs using dynamic window strategy
Objective. Filter bank canonical correlation analysis (FBCCA) is a widely-used classification
approach implemented in steady-state visual evoked potential (SSVEP)–based brain …
approach implemented in steady-state visual evoked potential (SSVEP)–based brain …
Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs
Objective. Latest target recognition methods that are equipped with learning from the
subject's calibration data, represented by the extended canonical correlation analysis …
subject's calibration data, represented by the extended canonical correlation analysis …
Inter-and intra-subject transfer reduces calibration effort for high-speed SSVEP-based BCIs
Objective: Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces
(BCIs) that can deliver a high information transfer rate (ITR) usually require subject's …
(BCIs) that can deliver a high information transfer rate (ITR) usually require subject's …
Improved SFFS method for channel selection in motor imagery based BCI
Background Multichannels used in brain–computer interface (BCI) systems contain
redundant information and cause inconvenience for practical application. Channel selection …
redundant information and cause inconvenience for practical application. Channel selection …
Enhancing performances of SSVEP-based brain–computer interfaces via exploiting inter-subject information
Objective. A new training-free framework was proposed for target detection in steady-state
visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) using joint …
visual evoked potential (SSVEP)-based brain–computer interfaces (BCIs) using joint …
Online adaptation boosts SSVEP-based BCI performance
Objective: A user-friendly steady-state visual evoked potential (SSVEP)-based brain-
computer interface (BCI) prefers no calibration for its target recognition algorithm, however …
computer interface (BCI) prefers no calibration for its target recognition algorithm, however …
[HTML][HTML] Age-related differences in SSVEP-based BCI performance
Abstract Brain–Computer Interface (BCI) systems analyze brain signals to generate control
commands for computer applications or external devices. Utilized as alternative …
commands for computer applications or external devices. Utilized as alternative …
A dynamic window recognition algorithm for SSVEP-based brain–computer interfaces using a spatio-temporal equalizer
The past decade has witnessed rapid development in the field of brain–computer interfaces
(BCIs). While the performance is no longer the biggest bottleneck in the BCI application, the …
(BCIs). While the performance is no longer the biggest bottleneck in the BCI application, the …
Sparse Bayesian multiway canonical correlation analysis for EEG pattern recognition
L1-regularized multiway canonical correlation analysis (L1-MCCA) has been introduced to
reference signal optimization in steady-state visual evoked potential (SSVEP)-based brain …
reference signal optimization in steady-state visual evoked potential (SSVEP)-based brain …
The extension of multivariate synchronization index method for SSVEP-based BCI
Multichannel frequency detection methods for SSVEP-based BCI have received increasing
interest in recent years. Among the alternative methods, multivariate synchronization index …
interest in recent years. Among the alternative methods, multivariate synchronization index …