Brain–computer interface speller based on steady-state visual evoked potential: A review focusing on the stimulus paradigm and performance

M Li, D He, C Li, S Qi - Brain sciences, 2021 - mdpi.com
The steady-state visual evoked potential (SSVEP), measured by the electroencephalograph
(EEG), has high rates of information transfer and signal-to-noise ratio, and has been used to …

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 …

SSVEP stimulus layout effect on accuracy of brain-computer interfaces in augmented reality glasses

X Zhao, C Liu, Z Xu, L Zhang, R Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Steady-state visual evoked potentials-based brain-computer interfaces (SSVEP-BCI) has the
advantage of high information transfer rate (ITR) and little user training, and it has a high …

A SSVEP-based brain-computer interface with low-pixel density of stimuli

J Meng, H Liu, Q Wu, H Zhou, W Shi… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
The brain-computer interface (BCI) based on the steady-state visual evoked potential
(SSVEP) has drawn widespread attention due to its high communication speed and low …

Painting with the eye: understanding the visual field of the human eye with SSVEP

DE Garcia, KW Zheng, Y Liu, YS Tao… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
We present an investigation into the relationship between steady-state visually-evoked
potentials (SSVEPs) and the magnitude, distance, shape, and spatial location of the flashing …

The effect of visual occlusion training on the performance of Forehand Drive in unskilled Table Tennis players

M Heidari, A Saberi Kakhki, H Taheri - Motor Behavior, 2023 - mbj.ssrc.ac.ir
The purpose of the present study was to investigate the effect of visual occlusion training on
the performance of forehand drive skill. Participants included 48 students (24.06±3.78 yrs.) …

[PDF][PDF] On Tackling Fundamental Constraints in Brain-Computer Interface Decoding via Deep Neural Networks

NIK NIK-AZNAN, B KHADIJAH - 2021 - etheses.dur.ac.uk
A Brain-Computer Interface (BCI) is a system that provides a communication and control
medium between human cortical signals and external devices, with the primary aim to assist …

[引用][C] The Analysis Of Motor Imagery And SSVEPs For the BCI Application

R Sutjiadi, TJ Pattiasina, A Handojo, R Lim - Journal of Southwest Jiaotong University, 2019