Classification of the steady-state movement related potentials (ssMRP) is proposed here as a potential approach to real-time brain computer interfacing (BCI). We briefly review the neurological background of ssMRPs which are typically studied by means of averaged electroencephalogram (EEG) signals. A simple feature extraction method is then suggested for single trial ssMRP processing. The Fisher’s linear discriminant (FLD) classifier is utilized here in order to test the proposed BCI. The novelty and promise of this approach is mainly in the application of rhythmic cues for BCI, the simple recording setup, and straightforward computations which make the real-time implementations plausible.
|Number of pages||6|
|Publication status||Published - 21 Sep 2008|
|Event||4th International Brain-Computer Interface Workshop and Training Course 2008 - Graz, Austria|
Duration: 18 Sep 2008 → 21 Sep 2008
|Workshop||4th International Brain-Computer Interface Workshop and Training Course 2008|
|Period||18/09/08 → 21/09/08|