1.8 KiB
Create thesis on overleaf Take template for masters thesis and start working on it. Just start writing, also it will be good place to just write what has been explored
Set goals Main focus of this is to create some sort inter people feature extraction with some degree of semantic meaning of embedings. To achieve this we need to:
- Find suitable datasets
- What will be input
- Preprocess datasets
- Introduce controlled artifical noise source
- Develop system to extract features
- Train SOA classificator on those embeddings
- Evaluate
Find suitable dataset Dataset should be of type motor imaginery, tho it is not rule. Maybe dataset BCI competition IV-2a can be good start, can be found here
What will be input Should we just showve batches of raw data to network. Or calculate spectrogram. How big should be the batches, how much overlapping, use sliding window?
Preprocessing datasets Dataset can be corrupted with strong signals coming from eye movement, neck muscles activity and so on. Find way to filter it out. Use state of the art technique on this. Not trying to really explore this part, just use whats out there.
Artifically adding noise Find some way to artifically add noise to dataset, in a way to improve BCI classification. Find some methods and try them on some known BCI classifier architectures.
System to extract features This is the main part. Find NN architecture which would be able to extract features. Try to explore more architectures. What I think would be good to try: Autoencoder, GAN (maybe with vector quantization), transformer, maybe use contrastive learning. Test on raw and noisied data
Evaluate Find methods to evaluate quality of extracted embeddings. Maybe train an classificator on those and see quality