[HTML][HTML] Studies to overcome brain–computer interface challenges

WS Choi, HG Yeom - Applied Sciences, 2022 - mdpi.com
A brain–computer interface (BCI) is a promising technology that can analyze brain signals
and control a robot or computer according to a user's intention. This paper introduces our …

Optimizing stimulus frequency ranges for building a high-rate high frequency SSVEP-BCI

X Chen, B Liu, Y Wang, H Cui, J Dong… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
The brain-computer interfaces (BCIs) based on steady-state visual evoked potential
(SSVEP) have been extensively explored due to their advantages in terms of high …

[HTML][HTML] Optimal stimulus properties for steady-state visually evoked potential brain–computer interfaces: a scoping review

C Reitelbach, K Oyibo - Multimodal Technologies and Interaction, 2024 - mdpi.com
Brain–computer interfaces (BCIs) based on steady-state visually evoked potentials
(SSVEPs) have been well researched due to their easy system configuration, little or no user …

CCA-based compressive sensing for SSVEP-based brain-computer interfaces to command a robotic wheelchair

H Rivera-Flor, D Gurve, A Floriano… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
People with severe physical disabilities are not able of using standard robotic wheelchairs,
which generally demand some motor skills, and therefore total usage of associate muscles …

A user-friendly SSVEP-based BCI using imperceptible phase-coded flickers at 60Hz

L Jiang, W Pei, Y Wang - China Communications, 2022 - ieeexplore.ieee.org
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 …

A high-performance SSVEP-based BCI using imperceptible flickers

G Ming, W Pei, X Gao, Y Wang - Journal of Neural Engineering, 2023 - iopscience.iop.org
Objective. Existing steady-state visual evoked potential (SSVEP)-based brain-computer
interfaces (BCIs) struggle to balance user experience and system performance. This study …

A new grid stimulus with subtle flicker perception for user-friendly SSVEP-based BCIs

G Ming, H Zhong, W Pei, X Gao… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. The traditional uniform flickering stimulation pattern shows strong steady-state
visual evoked potential (SSVEP) responses and poor user experience with intense flicker …

A high-performance brain switch based on code-modulated visual evoked potentials

L Zheng, W Pei, X Gao, L Zhang… - Journal of Neural …, 2022 - iopscience.iop.org
Objective. Asynchronous brain-computer interfaces (BCIs) are more practical and natural
compared to synchronous BCIs. A brain switch is a standard asynchronous BCI, which can …

A data expansion technique based on training and testing sample to boost the detection of SSVEPs for brain-computer interfaces

X Xiao, L Wang, M Xu, K Wang… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Currently, steady-state visual evoked potentials (SSVEPs)-based brain-computer
interfaces (BCIs) have achieved the highest interaction accuracy and speed among all BCI …

A calibration-free hybrid BCI speller system based on high-frequency SSVEP and sEMG

R Zhang, G Dong, M Li, Z Tang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Hybrid brain-computer interface (hBCI) systems that combine steady-state visual evoked
potential (SSVEP) and surface electromyography (sEMG) signals have attracted attention of …