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.