Brain Computer Interface

Catalog description

This course introduces fundamental and advanced technologies in constructing prosthetic devices controlled by brain signals noninvasively. The topics will include the major BCI components, Electroencephalography (EEG) signal properties, acquisition and processing, the common research platform BCI2000, eye-movement tracking glasses, basic machine learning, classical and award-winning BCI research projects, etc. Students will gain a broad knowledge of the BCI research and its applications. The will learn the basics of brain-signal acquisition and processing. They will learn the four modules included in a typical BCI system. They will be able to work with a single-channel EEG system to measure brain signals and build complete applications on top of it. Graduate students will lead the design groups and will apply more advanced analysis techniques than the undergraduates.