Real-Time Brain-Computer Interface System Based on Motor Imagery |
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| Authors: | Tie-Jun Liu Ping Yang Xu-Yong Peng Yu Huang De-Zhong Yao |
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| Affiliation: | Key Laboratory for NeuroInformation of Ministry of Education,School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu,610054,China |
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| Abstract: | A brain-computer interface (BCI) real-time system based on motor imagery translates the user's motor intention into a real-time control signal for peripheral equipments.A key problem to be solved for practical applications is real-time data collection and processing.In this paper,a real-time BCI system is implemented on computer with electroencephalogram amplifier.In our implementation,the on-line voting method is adopted for feedback control strategy,and the voting results are used to control the cursor horizontal movement.Three subjects take part in the experiment.The results indicate that the best accuracy is 90%. |
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| Keywords: | Adaptive classification brain-compu- ter interface feature combination real-time system |
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