Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm | Zendy

Pablo Martínez | Zendy; Hovagim Bakardjian | Zendy; Andrzej Cichocki | Zendy

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Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm

Author(s) -

Pablo Martínez,

Hovagim Bakardjian,

Andrzej Cichocki

Publication year - 2007

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2007/94561

Subject(s) - brain–computer interface , computer science , neurofeedback , interface (matter) , modular design , human–computer interaction , object (grammar) , electroencephalography , artificial intelligence , computer vision , speech recognition , neuroscience , psychology , bubble , maximum bubble pressure method , operating system , parallel computing

We propose a new multistage procedure for a real-time brain-machine/computer interface (BCI). The developed system allows a BCI user to navigate a small car (or any other object) on the computer screen in real time, in any of the four directions, and to stop it if necessary. Extensive experiments with five young healthy subjects confirmed the high performance of the proposed online BCI system. The modular structure, high speed, and the optimal frequency band characteristics of the BCI platform are features which allow an extension to a substantially higher number of commands in the near future.

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