Enhance Detection of SSVEPs through a Sinusoidal-Referenced Task-Related Component Analysis Method

Z Wang, T Xu, X Chen, T Zhou, H Hu… - IEEE INFOCOM 2023 …, 2023 - ieeexplore.ieee.org
The brain-computer interface (BCI) technology is deemed a pivotal technology in future
wireless communication systems, eg 6G, for its capability to connect a brain and a machine …

A maximum likelihood perspective of spatial filter design in SSVEP-based BCIs

Z Wang, X Zhao, M Zhang, H Hu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In steady-state visual-evoked potential (SSVEP) based brain-computer interfaces (BCIs),
existing detection algorithms utilizing spatial filters like task-related component analysis …

Improving SSVEP-BCI performance using pre-trial normalization methods

J Henshaw, W Liu, DM Romano - 2017 8th IEEE International …, 2017 - ieeexplore.ieee.org
A brain-computer interface (BCI) enables users to communicate through a computer using
only their brain signals, by extracting brain signal features containing information …

Hybrid approach: combining ecca and sscor for enhancing ssvep decoding

S Hamou, M Moufassih, O Tarahi, S Agounad… - The Journal of …, 2024 - Springer
Currently, steady-state visual evoked potentials (SSVEPs) are applied in a variety of fields.
In these applications, spatial filtering is the most commonly used method for decoding …

High accuracy wearable SSVEP detection using feature profiling and dimensionality reduction

M Farooq, O Dehzangi - 2017 IEEE 14th International …, 2017 - ieeexplore.ieee.org
Steady State Visual Evoked Potential (SSVEP) has been commonly adopted in Brain
Computer Interface (BCI) applications. For wearable BCI applications, several aspects of …

Improving the performance of individually calibrated SSVEP-BCI by task-discriminant component analysis

B Liu, X Chen, N Shi, Y Wang, S Gao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A brain-computer interface (BCI) provides a direct communication channel between a brain
and an external device. Steady-state visual evoked potential based BCI (SSVEP-BCI) has …

The combination of CCA and PSDA detection methods in a SSVEP-BCI system

R Wang, W Wu, K Iramina, S Ge - Proceeding of the 11th World …, 2014 - ieeexplore.ieee.org
In recent years, based on the steady-state visual evoked potential (SSVEP) brain-computer
interfaces (BCIs) have generated significant interest, due to their shorter calibration times …

Group ensemble learning enhances the accuracy and convenience of SSVEP-based BCIs via exploiting inter-subject information

C Tong, H Wang, C Yang, X Ni - Biomedical Signal Processing and Control, 2021 - Elsevier
Over the past years, Steady-state visual evoked potential (SSVEP) is widely used in brain–
computer interfaces (BCIs) due to its high efficiency, robustness and convenience. Although …

Robust similarity measurement based on a novel time filter for SSVEPs detection

J Jin, Z Wang, R Xu, C Liu, X Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) has
received extensive attention in research for the less training time, excellent recognition …

Designing a sum of squared correlations framework for enhancing SSVEP-based BCIs

GRK Kumar, MR Reddy - IEEE transactions on neural systems …, 2019 - ieeexplore.ieee.org
This study illustrates and evaluates a novel subject-specific target detection framework, sum
of squared correlations (SSCOR), for improving the performance of steady-state visual …