Spelling with non-invasive Brain–Computer Interfaces–Current and future trends
H Cecotti - Journal of Physiology-Paris, 2011 - Elsevier
Brain–Computer Interfaces (BCIs) have become a large research field that include
challenges mainly in neuroscience, signal processing, machine learning and user interface …
challenges mainly in neuroscience, signal processing, machine learning and user interface …
Convolutional neural networks for P300 detection with application to brain-computer interfaces
H Cecotti, A Graser - IEEE transactions on pattern analysis and …, 2010 - ieeexplore.ieee.org
A Brain-Computer Interface (BCI) is a specific type of human-computer interface that enables
the direct communication between human and computers by analyzing brain …
the direct communication between human and computers by analyzing brain …
P300 detection with brain–computer interface application using PCA and ensemble of weighted SVMs
Brain–computer interface (BCI) P300 speller can be used as a powerful aid for severely
disabled people in their everyday life. The character recognition using P300 speller involves …
disabled people in their everyday life. The character recognition using P300 speller involves …
Brain-computer interface system based on p300 processing with convolutional neural network, novel speller, and low number of electrodes
The P300 wave has been successfully employed to develop brain-computer interfaces (BCI)
for speller applications. However, methods to analyze the P300 require computers with high …
for speller applications. However, methods to analyze the P300 require computers with high …
P300 event-related potential detection using one-dimensional convolutional capsule networks
X Liu, Q **.pdf" data-clk="hl=tr&sa=T&oi=gga&ct=gga&cd=6&d=6585359111138243739&ei=QB22Z_OOCuzDieoP1oa5-AI" data-clk-atid="m_TGiTjlY1sJ" target="_blank">[PDF] kent.ac.uk
Latency as a region contrast: Measuring ERP latency differences with dynamic time war**
Methods for measuring onset latency contrasts are evaluated against a new method utilizing
the dynamic time war** (DTW) algorithm. This new method allows latency to be measured …
the dynamic time war** (DTW) algorithm. This new method allows latency to be measured …
Solving the data imbalance problem of P300 detection via random under-sampling bagging SVMs
The imbalance problem exists in P300 EEG data sets because P300 potential are collected
under the condition of Oddball experimental paradigm. Hence, a P300 detection method …
under the condition of Oddball experimental paradigm. Hence, a P300 detection method …
Score normalization of ensemble SVMs for brain-computer interface P300 speller
Brain-computer interface (BCI) P300 speller can be used as a powerful aid for severely
disabled people in their everyday life. The character recognition using P300 speller involves …
disabled people in their everyday life. The character recognition using P300 speller involves …
Enhancing P300 based character recognition performance using a combination of ensemble classifiers and a fuzzy fusion method
Background P300-based brain-computer interfaces provide communication pathways
without the need for muscle activity by recognizing electrical signals from the brain. The …
without the need for muscle activity by recognizing electrical signals from the brain. The …