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ICML
2005
IEEE
14 years 5 months ago
A brain computer interface with online feedback based on magnetoencephalography
The aim of this paper is to show that machine learning techniques can be used to derive a classifying function for human brain signal data measured by magnetoencephalography (MEG)...
Bernhard Schölkopf, Hubert Preißl, J&uu...
JUCS
2006
185views more  JUCS 2006»
13 years 4 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
AUSDM
2008
Springer
271views Data Mining» more  AUSDM 2008»
13 years 6 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
KI
2009
Springer
13 years 11 months ago
P300 Detection Based on Feature Extraction in On-line Brain-Computer Interface
Abstract. We propose a new EEG-based wireless brain computer interface (BCI) with which subjects can “mind-type” text on a computer screen. The application is based on detectin...
Nikolay Chumerin, Nikolay V. Manyakov, Adrien Comb...
AICI
2010
13 years 3 months ago
A Cell-Phone Based Brain-Computer Interface for Communication in Daily Life
Moving a brain-computer interface from a laboratory demonstration to real-life applications poses severe challenges to the BCI community. Recently, with advances in the biomedical ...
Yu-Te Wang, Yijun Wang, Tzyy-Ping Jung