Implementing a calibration-free SSVEP-based BCI system with 160 targets
Objective. Steady-state visual evoked potential (SSVEP) is an essential paradigm of
electroencephalogram based brain–computer interface (BCI). Previous studies in the BCI …
electroencephalogram based brain–computer interface (BCI). Previous studies in the BCI …
Adaptive asynchronous control system of robotic arm based on augmented reality-assisted brain–computer interface
L Chen, P Chen, S Zhao, Z Luo, W Chen… - Journal of Neural …, 2021 - iopscience.iop.org
Objective. Brain-controlled robotic arms have shown broad application prospects with the
development of robotics, science and information decoding. However, disadvantages, such …
development of robotics, science and information decoding. However, disadvantages, such …
An efficient CNN-LSTM network with spectral normalization and label smoothing technologies for SSVEP frequency recognition
Objective. Steady-state visual evoked potentials (SSVEPs) based brain–computer interface
(BCI) has received great interests owing to the high information transfer rate and available …
(BCI) has received great interests owing to the high information transfer rate and available …
A spectrally-dense encoding method for designing a high-speed SSVEP-BCI with 120 stimuli
The practical functionality of a brain-computer interface (BCI) is critically affected by the
number of stimuli, especially for steady-state visual evoked potential based BCI (SSVEP …
number of stimuli, especially for steady-state visual evoked potential based BCI (SSVEP …
Boosting template-based SSVEP decoding by cross-domain transfer learning
Objective. This study aims to establish a generalized transfer-learning framework for
boosting the performance of steady-state visual evoked potential (SSVEP)-based brain …
boosting the performance of steady-state visual evoked potential (SSVEP)-based brain …
Align and pool for EEG headset domain adaptation (ALPHA) to facilitate dry electrode based SSVEP-BCI
Objective: The steady-state visual evoked potential based brain-computer interface (SSVEP-
BCI) implemented in dry electrodes is a promising paradigm for alternative and …
BCI) implemented in dry electrodes is a promising paradigm for alternative and …
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 …
Filter bank convolutional neural network for short time-window steady-state visual evoked potential classification
Convolutional neural network (CNN) has been gradually applied to steady-state visual
evoked potential (SSVEP) of the brain-computer interface (BCI). Frequency-domain features …
evoked potential (SSVEP) of the brain-computer interface (BCI). Frequency-domain features …
Cross-subject transfer learning for boosting recognition performance in SSVEP-based BCIs
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have
been substantially studied in recent years due to their fast communication rate and high …
been substantially studied in recent years due to their fast communication rate and high …
Transferring subject-specific knowledge across stimulus frequencies in SSVEP-based BCIs
Learning from subject's calibration data can significantly improve the performance of a
steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI), for …
steady-state visually evoked potential (SSVEP)-based brain–computer interface (BCI), for …