Papers Brain Computer Interface
“Brain Computer Interface” 태그가 달린 논문 466편 · 필터 해제
Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button
A brain-computer interface (BCI) allows users to “communicate” with a computer without using their muscles. BCI based on sensori-motor rhythms use imaginary motor tasks, such as moving the right or left hand to send cont…
Brain Computer InterfaceGeneral ClassificationMinimizing inter-subject variability in fNIRS based Brain Computer Interfaces via multiple-kernel support vector learning
Brain signal variability in the measurements obtained from different subjects during different sessions significantly deteriorates the accuracy of most brain-computer interface (BCI) systems. Moreover these variabilities…
Brain Computer InterfaceDecoding finger flexion from band-specific ECoG signals in humans
This article presents the method that won the brain-computer interface (BCI) competition IV addressed to the prediction of the finger flexion from electrocorticogram (ECoG) signals. ECoG-based BCIs have recently drawn th…
Brain Computer InterfaceBrain DecodingEEGElectroencephalogram (EEG)Sparsistent Learning of Varying-coefficient Models with Structural Changes
To estimate the changing structure of a varying-coefficient varying-structure (VCVS) model remains an important and open problem in dynamic system modelling, which includes learning trajectories of stock prices, or…
Brain Computer InterfaceModel SelectionEffects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
From an information-theoretic perspective, a noisy transmission system such as a visual Brain-Computer Interface (BCI) speller could benefit from the use of error-correcting codes. However, optimizing the code solely acc…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Second Order Bilinear Discriminant Analysis for single trial EEG analysis
Traditional analysis methods for single-trial classification of electro-encephalography (EEG) focus on two types of paradigms: phase locked methods, in which the amplitude of the signal is used as the feature for classif…
Brain Computer InterfaceClassificationEEGElectroencephalogram (EEG)+2