8 search results - page 1 / 2 » Ensemble of SVMs for Improving Brain Computer Interface P300... |
ICANN
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. This paper addresses the problem of signal responses variability within a single subject in P300 speller Brain-Computer Interfaces. We propose here a method to cope with ...
HCI
2009
13 years 4 months ago
2009
Abstract. The P300 Speller has proven to be an effective paradigm for braincomputer interface (BCI) communication. Using this paradigm, studies have shown that a simple linear clas...
IUI
2010
ACM
14 years 3 months ago
2010
ACM
Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...
ICPR
2008
IEEE
14 years 21 days ago
2008
IEEE
This paper presents a subject-independent EEG (Electroencephalogram) classification technique and its application to a P300-based word speller. Due to EEG variations across subje...
ICASSP
2007
IEEE
14 years 18 days ago
2007
IEEE
In this paper, we analyze the convergence of an iterative selftraining semi-supervised support vector machine (SVM) algorithm, which is designed for classi cation in small trainin...