Pattern recognition for non-invasive EEG-based BCI
Name
Ilja Kuzovkin
Abstract
We had a look at EEG devices and EEG based BCI technology, which is becoming more and more popular these days. During last few years devices which are designed for wide range of users appeared on the market. Ac- cording to advertisements, these device could allow human to control the computer with power of thought. But in the real applications, to make technology more functional, these devices read not only brainwaves, but also mimics, pulse and other biometrical parameters. We were interested in how much can we achieve if we use only brainwave signal processing and classification.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Konstantin Tretyakov
Defence year
2011