Article ID Journal Published Year Pages File Type
558800 Biomedical Signal Processing and Control 2014 8 Pages PDF
Abstract

•We propose a novel brain–computer interface design for steady state visual evoked potential based brain computer interfaces.•We test the performance of the proposed design on 16 subjects for different stimuli lengths with different classifiers.•Proposed design has a high information transfer rate with incremental character drawing capability.•The design is simple and converges to the natural writing scheme of humans.

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.

Related Topics
Physical Sciences and Engineering Computer Science Signal Processing
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