The Design of Control System of Cursor Movement Based EEG

Abstract:

Brain-Computer Interface (BCI) systems support direct communication and control between brain and external devices without use of peripheral nerves system and muscles. BCI can convert electro-encephalogram (EEG) to the control signal to try repairing function for patients. So the study of BCI can improve the life quality of the patients. This system acquires EEG signals due to the left/right hand motor imagery among the normal subjects. For the processing of motor imagery EEG, we adopt the feature extraction method of second order moment in specific frequency band and the feature classification of linear discriminate analysis. Through the analysis of motor imagery EEG, we convert the data results into external control signal to control the movement of the cursor displayed on the computer. The experimental results show that the EEG analysis method makes it feasible and effective for disabled patients communicating with the outside world, and provides the basis for further study of brain-machine interface. Keywords: EEG; motor imagery; cursor movement; second-order moment.

• Periodical: Applied Mechanics and Materials (Volume 665)
• Pages: 635-639
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.665.635
• Online since: October 2014
• Authors: Nian Nian Wang, Ying Zhi Wang, Li Fu Zhu, Ze Xiang Tan, Di Wang, Yue Sun, Ming Yue Li, Guo Zhong Liu
• Keywords: Cursor Movement, EEG, Motor Imagery, Second-Order Moment

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