24 search results - page 1 / 5 » A performance model of selection techniques for p300-based b... |
CHI
2009
ACM
13 years 5 months ago
2009
ACM
In this paper, we propose a model to predict the performance of selection techniques using Brain-Computer Interfaces based on P300 signals. This model is based on Markov theory an...
EUSFLAT
2007
13 years 5 months ago
2007
EEG-based brain computer interface (BCI) provides a new communication channel between the human brain and a computer. The classification of EEG data is an important task in EEG-ba...
IUI
2010
ACM
14 years 1 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
13 years 10 months 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...
IJCNN
2008
IEEE
13 years 10 months ago
2008
IEEE
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...