Sciweavers

43 search results - page 2 / 9
» High Accuracy Classification of EEG Signal
Sort
View
NIPS
2004
13 years 8 months ago
An Auditory Paradigm for Brain-Computer Interfaces
Motivated by the particular problems involved in communicating with "locked-in" paralysed patients, we aim to develop a braincomputer interface that uses auditory stimul...
N. Jeremy Hill, Thomas Navin Lal, Karin Bierig, Ni...
ICASSP
2011
IEEE
12 years 10 months ago
Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signals
Brain-Computer Interfaces (BCIs) allow a user to control a computer application by brain activity as acquired, e.g., by EEG. A standard step in a BCI system is to project the EEG ...
Wojciech Wojcikiewicz, Carmen Vidaurre, Motoaki Ka...
AUSDM
2008
Springer
271views Data Mining» more  AUSDM 2008»
13 years 9 months ago
Classification of Brain-Computer Interface Data
In this paper we investigate the classification of mental tasks based on electroencephalographic (EEG) data for Brain Computer Interfaces (BCI) in two scenarios: off line and on-l...
Omar AlZoubi, Irena Koprinska, Rafael A. Calvo
ICASSP
2011
IEEE
12 years 10 months ago
Classification by weighting for spatio-frequency components of EEG signal during motor imagery
We propose a novel method for the classification of EEG signals during motor-imagery. For motor-imagery based brain computer interface (MI-BCI), a method called common spatial pa...
Hiroshi Higashi, Toshihisa Tanaka
ENGL
2007
160views more  ENGL 2007»
13 years 7 months ago
Diagnosis and Classification of Epilepsy Risk Levels from EEG Signals Using Fuzzy Aggregation Techniques
— This paper is intended to compare the performance of four different types of fuzzy aggregation methods in classification of epilepsy risk levels from EEG Signal parameters. The...
R. Sukanesh, R. Harikumar