SSVEP and ANN based optimal speller design for Brain Computer Interface
<p>This work put forwards an optimal BCI (Brain Computer Interface) speller design based on Steady State Visual Evoked Potentials (SSVEP) and Artificial Neural Network (ANN) in order to help the people with severe motor impairments. This work is carried out to enhance the accuracy and communic...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Klaipėda University
2015-07-01
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| Series: | Computational Science and Techniques |
| Online Access: | http://journals.ku.lt/index.php/CST/article/view/1059 |