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Brain-computer interface based on motor imagery is currently considered as the most promising brain-computer interface (BCI). By off-line analytic comparison, this paper used wavelet packet decomposition (WPD) and short-time Fourier transform (STFT) to feature extraction, which provided the basis for real-time online BCI system. With combination of advantages of two electroencephalograms (EEG) as...
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 manipulator. Stimulation program and experimental scheme are designed based on LabVIEW platform and...
Considering of high transmission rate and short training time, Steady State Visual Evoked Potential (SSVEP) rapidly becomes a practical signal in Brain-Computer Interface(BCI) system. This paper study the extraction method of SSVEP based on the Hilbert-Huang Transformation. The SSVEP was processed by a time-frequency processing system. after empirical mode decomposition and Hilbert-Huang Transform(HHT),...
A Brain-Computer Interface (BCI) system based on Steady State Visual Evoked Potentials (SSVEP) was presented in this paper to realize four-direction motion control of a small ball on the computer screen. The system mainly included five parts of visual stimulator, electroencephalogram (EEG) amplifier, EEG acquisition, EEG processing and machine human interface on the computer screen. The system utilized...
This paper proposes the design method of a Brain-Computer Interface(BCI) system based on SSVEP. Achieved an effective collection and processing of SSVEP information through the combination of analog filtering and digital processing;Changed the features which were extracted from the processed signals into control commands to control the peripherals. In this paper, digital signal processor (DSP) is...
The research designed a brain-computer interface (BCI) system based on the steady state VEP potential (SSVEP). It used the wavelet packet decomposition technology to extract feature. Comparing with the FFT, this method could avoid the spectrum leakage and improve the information transmission rate. A SSVEP-based controlling system of multi-DoF manipulator was presented in this paper on the basis of...
An on-line BCI system is designed to control self-designed robot for photo-taking. The simulated experiment of BCI's application outside space-ship in aerospace is included in this paper. The P300-based BCI system includes three modules: visual stimulus, EEG sampling and signal processing, external robot controlling. A robot acts as the carrier for the camera. The robot is developed with the ability...
The research adopts the classical visual evoked potentials paradigm, designs the stimulation program and experimental scheme base on the labview platform,and the way of visual stimulate is studied in this paper. In this way we can produce event-related potentials more effectively. On the platform in labview, achieve the event-related potential signal acquisition and processing. Explore how extract...
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