Algorithms of mental commands in brain-computer interfaces

Master thesis on brain-computer interfaces (BCI) in Information and Communication Technology (ICT) at West Pomeranian University of Technology Szczecin, Faculty of Electrical Engineering.

Purpose and scope

My main goal was to develop virtual keyboard system (a keyboard that does not need physical interaction to provide its input) controlled with use of brain-activity acquisition device.

In my thesis I've covered:

• theoretical introduction to brain-computer interfaces: what are BCIs, basics of signal acquisition and processing, example applications,
• research on commercially available brain-activity recording devices: Emotiv Insight & EPOC+, Muse/Muse 2, MindWave Mobile 2, OpenBCI,
• implementation of my virtual keyboard: hardware and software selection, structure of my solution, algorithms, training of mental commands,
• system tests: how amount of mental commands, amount of their training session and parameters of my algorithms affect detection correctness.

Technologies

In my thesis I've used:

• C#
• WPF
• CortexAPI: WebSocket, JSON
• LaTeX

Thesis poster

High quality thesis posters are available in this repository:

• JPG
• PDF