Abstract
The present study was done as part of a more complex project whose final aim is to design and implement an autonomic self-organizing system, mentally commanded by an user giving one of the 4 possible commands: forth, back, left, right. For this, we used the most studied method for designing non-invasive brain-computer interface (BCI), namely, the electroencephalogram (EEG) signals acquired during mental tasks. To command, in real-time, the system requires very discriminative mental tasks to be used to trigger the corresponding device commands. The novelty of our paper consists in revealing the great importance the preliminary selecting process of subject-specific set of tasks plays within the implementation of any particular BCI application. In this idea, our research focuses on an extensive analysis of twelve mental tasks; the processing and classification approaches used by us are classical ones.
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Dobrea, D.M., Dobrea, MC. (2009). A Study on Mental Tasks Discriminative Power. In: Lee, Yh., Kim, Th., Fang, Wc., Ślęzak, D. (eds) Future Generation Information Technology. FGIT 2009. Lecture Notes in Computer Science, vol 5899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10509-8_8
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DOI: https://doi.org/10.1007/978-3-642-10509-8_8
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