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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | en |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/43934/1/Seyed%20Aliakbar%20Mousavi%20Aslarzanagh24.pdf http://eprints.usm.my/43934/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|