Classification Of P300 Signals In Brain-Computer Interface Using Neural Networks With Adjustable Activation Functions
Brain-Computer Interface (BCI) employs brain’s Electroencephalograms (EEG) signals and Event-related potentials (ERP) such as P300 to provide a direct communication between human brain and computer. P300 speller application is a BCI that finds the location of target character using P300 signal...
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| Aineistotyyppi: | Opinnäyte |
| Kieli: | English |
| Julkaistu: |
2013
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| Aiheet: | |
| Linkit: | http://eprints.usm.my/43934/1/Seyed%20Aliakbar%20Mousavi%20Aslarzanagh24.pdf |