Basics of EEG-based Brain-Computer Interfaces
In this event, current brain-controlled wheelchair project lead Adam Del Rosso will cover the basics of building a non-invasive EEG-based BCI system. An overview of the many disciplines that contribute to the neurotech field will be provided, including neuroscience, signal processing, and machine learning. Then, Adam will provide a status of work within the brain-controlled wheelchair team and demonstrate the current capabilities of their low-cost BCI system featuring OpenBCI technology.
Data Collection, Preprocessing, and Feature Extraction - NXT @ RIT
Here is discussed means of filtering, noise management, machine learning in context, some simple feature extraction techniques and a few which have recently been popular. Feature reduction, class and feature dimensionality problems, and potential solutions such as PCA and NCA and hierarchical classification are mentioned and explained.