Usage of fuzzy classification algorithms in brain-computer interfaces
Name
Stepan Bolotnikov
Abstract
In this thesis, the usage of fuzzy classification algorithms in brain-computer interfaces (BCI) based on electroencephalography (EEG) is researched. We review the existing literature on BCI, the traditional crisp algorithms often used in BCI for classification, fuzzy classification algorithms and their application in BCI. A simple BCI system is implemented that allows the user to move a cursor on the computer screen. Tests conducted with this application show that fuzzy classification algorithms do not have advantage over crisp classification algorithms in this kind of BCI systems.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Information Technology
Supervisor(s)
Ilya Kuzovkin
Defence year
2014