Name
Abstract | ||
|---|---|---|
The Mind Speller is a Brain-Computer Interface which enables subjects to spell text on a computer screen by detecting P300 Event-Related Potentials in their electroencephalograms. This BCI application is of particular interest for disabled patients who have lost all means of verbal and motor communication. We report on the implementation of a feature extraction procedure on a new ultra low-power 8-channel wireless EEG device. The feature extraction procedure is based on downsampled EEG signal epochs, the Student's t-statistic of the Continuous Wavelet Transform, and the Common Spatial Pattern technique. For classification, we use a linear Least-Squares Support Vector Machine. The results show that subjects are potentially able to communicate a character in less than ten seconds with an accuracy of 94.5%, which is more than twice as fast as the state of the art. In addition since our EEG device is wireless it offers an increased comfort to the subject. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICMLA.2009.27 | ICMLA |
Keywords | Field | DocType |
eeg device,rapid p300 mind spelling,downsampled eeg signal epoch,bci application,feature extraction,eeg signals,brain-computer interface,8-channel wireless,feature extraction procedure,common spatial pattern technique,continuous wavelet transform,p300 event-related potentials,mind speller,brain computer interface,support vector machine,support vector machines,electric potential,t statistic,data mining,electrodes,event related potential,common spatial pattern,wavelet transforms,electroencephalography,wavelet transform,eeg,statistical analysis,brain computer interfaces | Wireless,Computer science,Brain–computer interface,Continuous wavelet transform,Artificial intelligence,Spelling,Electroencephalography,Wavelet transform,Pattern recognition,Support vector machine,Feature extraction,Speech recognition,Machine learning | Conference |
ISBN | Citations | PageRank |
978-0-7695-3926-3 | 6 | 0.57 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adrien Combaz | 1 | 67 | 7.30 |
| Nikolay V. Manyakov | 2 | 111 | 11.82 |
| Nikolay Chumerin | 3 | 74 | 8.42 |
| Johan A K Suykens | 4 | 2346 | 241.14 |
| Marc M. Van Hulle | 5 | 622 | 69.75 |