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BRAIN-COMPUTER INTERFACES

WHERE 

 

WHEN

WHO

(Supervised by)

WHAT

 

ITU Thesis

2017

Prof. Dr. Ahmet Hamdi Kayran,

Dr. Ayhan Yuksel

EEG, Digital Signal Processing, MATLAB

Nowadays, human-machine interaction technology took the developments a step further and made it possible to establish a communication system between the user's brain and electronic devices.  The communication system model between brain pulses and external devices is called Brain-Computer Interfaces (BCI). Starting from this point, the aim of the project is to classify two body movement brain signals from motor cortex using Motor Imagery BCI method. In the first phase of the study, the non-real-time design has been realized with databases containing raw data of motor imagery and SSVEP experiments. In the second phase, the SSVEP test setup was designed, real-time measurement and analysis were performed with a 16-channel EEG device, and right and left arm motion commands were obtained.