CAP 4160 - Brain-Computer Interfaces

This course involves the exploration of new forms of Human-Computer Interaction (HCI) based on a passive measurement of neurophysiological states (cognitive and affective). These include measuring cognitive workload and affective engagement. Students will read research papers in several related disciplines (i.e. Neuroscience, Cognitive Psychology, Cognitive Science, Medical BCI, Computational Neuroscience, and others) and present and discuss them in the course. We will explore the uses of non-invasive ubiquitous electroencephalographic (EEG) brain technologies. Also, students will learn the basics of other brain imaging technologies such as near-infrared spectroscopy (fNIRS) and Functional Magnetic Resonance Imaging (fMRI) and how they relate to the field of computing. We will also explore ways to use such measurements as a form of machine control.

Prerequisite(s): COP 3514  (min grade B)
Restriction(s):

• Junior Standing
• Senior Standing