A brain–computer interface based on miniature-event-related potentials induced by very small lateral visual stimuli
Goal: Traditional visual brain–computer interfaces (BCIs) preferred to use large-size stimuli
to attract the user's attention and elicit distinct electroencephalography (EEG) features …
to attract the user's attention and elicit distinct electroencephalography (EEG) features …
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 …
EEG-based brain-computer interfaces
Brain-computer interfaces (BCIs) provide a direct communication channel between human
brain and output devices. Due to advantages such as non-invasiveness, ease of use, and …
brain and output devices. Due to advantages such as non-invasiveness, ease of use, and …
Spatial filtering in SSVEP-based BCIs: Unified framework and new improvements
Objective: In the steady-state visual evoked potential (SSVEP)-based brain computer
interfaces (BCIs), spatial filtering, which combines the multi-channel …
interfaces (BCIs), spatial filtering, which combines the multi-channel …
A Survey on Brain-Computer Interface-Inspired Communications: Opportunities and Challenges
H Hu, Z Wang, X Zhao, R Li, A Li, Y Si… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) aim to directly bridge the human brain and the outside
world through acquiring and processing the brain signals in real time. In recent two decades …
world through acquiring and processing the brain signals in real time. In recent two decades …
Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI
A canonical correlation analysis (CCA) is a state-of-the-art method for frequency recognition
in steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) …
in steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) …
A user-friendly SSVEP-based BCI using imperceptible phase-coded flickers at 60Hz
A brain-computer interface (BCI) system based on steady-state visual evoked potentials
(SSVEP) was developed by four-class phase-coded stimuli. SSVEPs elicited by flickers at …
(SSVEP) was developed by four-class phase-coded stimuli. SSVEPs elicited by flickers at …
A high-performance SSVEP-based BCI using imperceptible flickers
Objective. Existing steady-state visual evoked potential (SSVEP)-based brain-computer
interfaces (BCIs) struggle to balance user experience and system performance. This study …
interfaces (BCIs) struggle to balance user experience and system performance. This study …
A novel hybrid BCI speller based on RSVP and SSVEP paradigm
Background and objective Steady-state visual evoked potential (SSVEP) and rapid serial
visual presentation (RSVP) are useful methods in the brain-computer interface (BCI) …
visual presentation (RSVP) are useful methods in the brain-computer interface (BCI) …
Efficient representations of EEG signals for SSVEP frequency recognition based on deep multiset CCA
Canonical correlation analysis (CCA) has been widely used for frequency recognition in
steady-state visual evoked potential (SSVEP) based brain–computer interfaces (BCIs) …
steady-state visual evoked potential (SSVEP) based brain–computer interfaces (BCIs) …