Design and implementation of a brain-computer interface based on virtual instrumentation Online publication date: Sun, 10-Jan-2010
by Genghuang Yang, Longteng Xiao, Hui Shen, Yan Bian, Li Zhao, Shigang Cui
International Journal of Advanced Mechatronic Systems (IJAMECHS), Vol. 2, No. 1/2, 2010
Abstract: The paper presents an on-line brain-computer interface (BCI) based on visual evoked potential (VEP) P300. The BCI is applied to control a multi-DOF manipulator. This BCI system includes five modules which are visual stimulator, signal acquisition, data processing, communication and motion control of the manipulator. In the experiment, the subject chooses the right oddball on a CRT/LCD displayer with eight blocks which are corresponding to the actions of the manipulator and gazes at it. The electroencephalography (EEG) of the subject is sampled to extract P300 feature. The algorithms of peak extraction, correlation analysis and wavelet transform are used to analyse EEG. The manipulator is controlled to move or operate by the subject's EEG with wire or wireless communication. The experiments show that the subject with little training can control the manipulator. The application and the future improvement of the research are also available in the paper.
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