Visual and auditory brain–computer interfaces
Over the past several decades, electroencephalogram (EEG)-based brain-computer
interfaces (BCIs) have attracted attention from researchers in the field of neuroscience …
interfaces (BCIs) have attracted attention from researchers in the field of neuroscience …
Brain-computer interface technologies: from signal to action
A Ortiz-Rosario, H Adeli - Reviews in the Neurosciences, 2013 - degruyter.com
Here, we present a state-of-the-art review of the research performed on the brain-computer
interface (BCI) technologies with a focus on signal processing approaches. BCI can be …
interface (BCI) technologies with a focus on signal processing approaches. BCI can be …
A high-speed brain speller using steady-state visual evoked potentials
Implementing a complex spelling program using a steady-state visual evoked potential
(SSVEP)-based brain–computer interface (BCI) remains a challenge due to difficulties in …
(SSVEP)-based brain–computer interface (BCI) remains a challenge due to difficulties in …
Frequency recognition in SSVEP-based BCI using multiset canonical correlation analysis
Canonical correlation analysis (CCA) has been one of the most popular methods for
frequency recognition in steady-state visual evoked potential (SSVEP)-based brain …
frequency recognition in steady-state visual evoked potential (SSVEP)-based brain …
A P300 brain–computer interface based on a modification of the mismatch negativity paradigm
The P300-based brain–computer interface (BCI) is an extension of the oddball paradigm,
and can facilitate communication for people with severe neuromuscular disorders. It has …
and can facilitate communication for people with severe neuromuscular disorders. It has …
A hybrid asynchronous brain-computer interface combining SSVEP and EOG signals
Y Zhou, S He, Q Huang, Y Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Objective: A challenging task for an electroencephalography (EEG)-based asynchronous
brain-computer interface (BCI) is to effectively distinguish between the idle state and the …
brain-computer interface (BCI) is to effectively distinguish between the idle state and the …
A novel multilayer correlation maximization model for improving CCA-based frequency recognition in SSVEP brain–computer interface
Multiset canonical correlation analysis (MsetCCA) has been successfully applied to optimize
the reference signals by extracting common features from multiple sets of …
the reference signals by extracting common features from multiple sets of …
An ERP-based BCI using an oddball paradigm with different faces and reduced errors in critical functions
Recent research has shown that a new face paradigm is superior to the conventional" flash
only" approach that has dominated P300 brain–computer interfaces (BCIs) for over 20 years …
only" approach that has dominated P300 brain–computer interfaces (BCIs) for over 20 years …
Sampled sinusoidal stimulation profile and multichannel fuzzy logic classification for monitor-based phase-coded SSVEP brain–computer interfacing
NV Manyakov, N Chumerin, A Robben… - Journal of neural …, 2013 - iopscience.iop.org
Objective. The performance and usability of brain–computer interfaces (BCIs) can be
improved by new paradigms, stimulation methods, decoding strategies, sensor technology …
improved by new paradigms, stimulation methods, decoding strategies, sensor technology …
Design of assistive wheelchair system directly steered by human thoughts
Integration of brain–computer interface (BCI) technique and assistive device is one of chief
and promising applications of BCI system. With BCI technique, people with disabilities do …
and promising applications of BCI system. With BCI technique, people with disabilities do …