Abstract
In this paper, an electroencephalogram-based innovative brain-computer interface (BCI), known as "Character Plotter", is presented. The proposed design uses steady-state visually evoked potentials. The subjects generate characters by drawing, step by step, lines between six circles on the computer screen. Additionally, there are three circles for controlling the drawing procedure. The features obtained from canonical correlation analysis are used for classification. The proposed synchronous BCI design was tested on 16 subjects in offline and online experimental tasks using support vector machines, linear discriminant analysis and the nearest mean classifier. The obtained classification performances indicate that the proposed design can be successfully used in classification. The Character Plotter converges to the natural writing scheme of humans. Therefore, subjects can adapt to the BCI design in a short training session.
Original language | English |
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Pages (from-to) | 145-152 |
Number of pages | 8 |
Journal | Biomedical Signal Processing and Control |
Volume | 10 |
Issue number | 1 |
DOIs | |
Publication status | Published - Mar 2014 |
Funding
This study was supported by Istanbul Technical University, Institute of Science and Technology, Projects Nos. 33246 and 33646.
Funders | Funder number |
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Institute of Science and Technology | 33246, 33646 |
Istanbul Teknik Üniversitesi |
Keywords
- Brain-computer interface
- Canonical correlation analysis
- EEG classification
- Steady-state visually evoked potentials
- Visual stimuli