Convolution and Wavelet Neural Networks Applied to EEG Brain-Control Interface

Undergraduate Research Conference Poster

OURE Final Report

I performed EEG research as part of the Missouri S&T program Opportunities for Undergraduate Research Experiences (OURE). I worked with Dr. Donald C. Wunsch and the Missouri S&T Applied Computational Intelligence Laboratory for this project exploring the possibility of using wavelet or convolution neural networks for motor-imagery classification. These types of neural networks are becoming very popular in image analysis for object tagging or facial recognition, so I though to apply them to the challenging problem of the EEG brain-control interface. In the end, these algorithms did not perform better than the best work out there, but I provided a few ideas I had moving forward with this approach.

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