- Tytuł:
- Implementation of Bilinear Separation algorithm as a classification method for SSVEP-based brain-computer interface
- Autorzy:
-
Jukiewicz, M.
Cysewska-Sobusiak, A. - Powiązania:
- https://bibliotekanauki.pl/articles/114357.pdf
- Data publikacji:
- 2015
- Wydawca:
- Stowarzyszenie Inżynierów i Techników Mechaników Polskich
- Tematy:
-
brain-computer interface
SSVEP
bilinear separation
support vector machine (SVM) - Opis:
- : The aim of this study was to create a two-class brain-computer interface. As in the case of research on SSVEP stimuli flashing at different frequencies were presented to four subjects. Optimal SSVEP recognition results can be obtained from electrodes: O1, O2 and Oz. In this work SVM classifier with Bilinear Separation algorithm have been compared. The best result in the offline tests using Bilinear Separation was: average accuracy of stimuli recognition 93% and ITR 33.1 bit/min, SVM: 90% and 32.8 bit/min.
- Źródło:
-
Measurement Automation Monitoring; 2015, 61, 2; 51-53
2450-2855 - Pojawia się w:
- Measurement Automation Monitoring
- Dostawca treści:
- Biblioteka Nauki
Artykuł