Comparison between Different Neural Networks as EEG Pattern Classifiers

J.L. Martín Sánchez, R. Arroyo Navarro, L. Boquete Vázquez, M. Mazo Quintas, and S.E. Palazuelos Cag


Mental tasks, EEG pattern recognition, neural networks.


In this paper the improvements in a system for a concrete human-machine interface especially adapted for physically disable are studied. This system is based on EEG signal analysis and it will try to discriminate mental states in order to translate these mental states into actions of a computer. Distinguishing EEG patterns related to different mental states could allow a paralyzed person to control devices such as wheelchairs or computers.

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