A Real-Time Classification approach of a Human Brain-Computer Interface based on Movement Related Electroencephalogram

A Real-Time Classification approach of a Human Brain-Computer Interface based on Movement Related Electroencephalogram

A Real-Time Brain-Computer Interface is a technical system classifying increased or decreased brain activity in Real-Time between different body movements, actions performed by a person. Focus in this thesis will be on testing algorithms and settings, finding the initial time interval and how increa...

Full description

Bibliographic Details
Main Author: Mileros, Martin D.
Format: Others
Language:English
Published: Linköpings universitet, Institutionen för konstruktions- och produktionsteknik 2004
Subjects:
Technology
Real-Time Brain-Computer Interface (RT-BCI)
Blind Signal Separation (BSS)
Canonical Correlation Analysis (CCA)
Electroencephalogram (EEG)
Artificial Neural Networks (ANN)
Real-Time Classification (RTC)
Ten-Twenty Electrode Application System (10-20 System)
TEKNIKVETENSKAP
TECHNOLOGY
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2824

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2824

Similar Items