Classification in Frequency Domain of EEG Signals of Motor Imagery for Brain Computer Interfaces

Date

2009-05-22

Author

Halıcı, Uğur

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In this study the classification of the EEG signals recorded during motor imagery for curser movement in brain computer interfaces is examined, in which the feature vectors obtained in frequency domain is used and then the linear transformations are applied for reducing the size of the feature vectors.

Subject Keywords

Frequency domain analysis, Electroencephalography, Brain computer interfaces, Vectors, Testing

URI

https://hdl.handle.net/11511/46057

DOI

https://doi.org/10.1109/biyomut.2009.5130258

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

U. Halıcı, “Classification in Frequency Domain of EEG Signals of Motor Imagery for Brain Computer Interfaces,” 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46057.