[HTML][HTML] Brain–computer interface speller based on steady-state visual evoked potential: A review focusing on the stimulus paradigm and performance
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 …
(EEG), has high rates of information transfer and signal-to-noise ratio, and has been used to …
A high performance spelling system based on EEG-EOG signals with visual feedback
In this paper, we propose a highly accurate and fast spelling system that employs multi-
modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback …
modal electroencephalography-electrooculography (EEG-EOG) signals and visual feedback …
[HTML][HTML] Effects of the concentration level, eye fatigue and coffee consumption on the performance of a BCI system based on visual ERP-P300
CF Blanco-Díaz, CD Guerrero-Méndez… - Journal of Neuroscience …, 2022 - Elsevier
Background: A widely used paradigm for Brain-Computer Interfaces (BCI) is based on
detecting P300 Event-Related Potentials (ERPs) in response to stimulation and …
detecting P300 Event-Related Potentials (ERPs) in response to stimulation and …
Recent advances of P300 speller paradigms and algorithms
T Fang, Z Song, L Niu, S Le, Y Zhang… - … Conference on Brain …, 2021 - ieeexplore.ieee.org
The P300 speller is the most common application that uses brain-computer interface (BCI)
for object control. At present, many researches use the P300 for the application of text input …
for object control. At present, many researches use the P300 for the application of text input …
Enhancing P300 detection using a band-selective filter bank for a visual P300 speller
Background: An open challenge of P300-based BCI systems focuses on recognizing ERP
signals using a reduced number of trials with enough classification rate. Methods: Three …
signals using a reduced number of trials with enough classification rate. Methods: Three …
Design of a video feedback SSVEP-BCI system for car control based on improved MUSIC method
C Liu, S Xie, X Xie, X Duan, W Wang… - 2018 6th International …, 2018 - ieeexplore.ieee.org
Brain computer interface (BCI) based on visual stimulus is widely used, however, subjects
have to focus on the stimulus rather than the object they want to control. Therefore, a video …
have to focus on the stimulus rather than the object they want to control. Therefore, a video …
Towards paradigm-independent brain computer interfaces
Brain-computer interfaces (BCIs) provide an alternative pathway of communication between
humans and external devices. There are three major paradigms that are commonly …
humans and external devices. There are three major paradigms that are commonly …
A novel method based on regularized logistic regression and CCA for P300 detection using a reduced number of EEG trials
The Event-Related Potential (ERP) P300 is an Electroencephalography (EEG) signal
evoked by external stimuli, characterised by a positive deflection at the 300 ms after …
evoked by external stimuli, characterised by a positive deflection at the 300 ms after …
Hybrid Brain–Computer Interface Spellers: A Walkthrough Recent Advances in Signal Processing Methods and Challenges
N Chugh, S Aggarwal - International Journal of Human–Computer …, 2023 - Taylor & Francis
Hybrid brain computer interfaces (hBCIs) have emerged as a possible path to integrated
brain-computer interaction in current history. hBCI, is a device formed by the amalgamation …
brain-computer interaction in current history. hBCI, is a device formed by the amalgamation …
Collective subjective logic: Scalable uncertainty-based opinion inference
Subjective Logic (SL), as one of the state-of-the-art belief models, has been proposed to
model an opinion that explicitly deals with its uncertainty. SL offers a variety of operators to …
model an opinion that explicitly deals with its uncertainty. SL offers a variety of operators to …