| Title |
Duomenų surinkimo ir signalų apdorojimo algoritmai smegenų – kompiuterio sąsajai / |
| Translation of Title |
Data acquisition and signal processing methods for brain – computer interfaces. |
| Authors |
Martišius, Ignas |
| Full Text |
|
| Pages |
44 |
| Keywords [eng] |
brain-computer interface ; EEG ; machine learning ; signal processing ; DSP |
| Abstract [eng] |
The dissertation presents algorithms for a direct human brain - computer interface. In today's world, more and more attention is paid to the disabled people's quality of life, and the development of interactive entertainment and virtual reality systems. A creation of the brain - computer interface system might produce one of the most promising solutions. This interface allows a person to control a computer or other electronic device without the use of muscles. The interface is based on the transformation of the electroencephalogram brain signals to control various electronic devices. The objective of the work is to research signal processing and classification algorithms for an electroencephalographic signal in order to create an efficient and commercially acceptable to the interface architecture. The thesis analyzes the signal characteristics of the electroencephalographic signal, provides an overview of modern brain - computer interface system design and their classification. The research part of the dissertation describes five novel methods for signal noise reduction, feature extraction and classification. Finally, a prototype system design based on the proposed algorithms is presented, together with conclusions and practical recommendations. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Summaries of doctoral thesis |
| Language |
Lithuanian |
| Publication date |
2016 |
