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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Robinson, N. Vinod, A.P. Cuntai Guan Kai Keng Ang Tee Keng Peng |
| Copyright Year | 2011 |
| Description | Author affiliation: Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore (Cuntai Guan; Kai Keng Ang; Tee Keng Peng) || School of Computer Engineering, Nanyang Technological University, Singapore (Robinson, N.; Vinod, A.P.) |
| Abstract | The Electroencephalogram (EEG) based Brain Computer Interface (BCI) is a non-invasive system to acquire, decode and convert brain signals into control signals for an external device. The Motor-Imagery based BCI (MI-BCI) efficiently decodes the brain signals from the imagination of movement but the performance is limited by the number of commands such as right and left hand motor imageries. However, other parameters of an actual voluntary movement, such as the direction of movement, speed and extent, are encoded in the brain signals. This paper investigates the EEG brain signals from directional changes in actual hand movement. The Wavelet-Common Spatial Pattern algorithm is proposed to extract discriminative features of the brain signals that carries the direction-related information. The experiment performed on two subjects yielded a mean classification accuracy of 87.85% in decoding two classes of the direction-related information. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 321364 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457700293 |
| e-ISBN | 9781457700316 |
| DOI | 10.1109/ICICS.2011.6174210 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-13 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electroencephalography Feature extraction Filter banks Classification algorithms Wavelet analysis Algorithm design and analysis Wavelet transforms Common Spatial Pattern Brain Computer Interface Electroencephalogram Discrete Wavelet Transform |
| Content Type | Text |
| Resource Type | Article |
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