EEG based Brain-Computer Interfaces (BCIs) for Communication

One of the most common BCI applications is the P300, or P3 Speller uses event-related potentials (ERPs), including the P300 -- a positive deflection approximately 300ms post-stimulus. In my research, I try to develop P3 latency estimation methods and use latency information to improve P3 speller BCIs performance.

EEG based Brain-Computer Interfaces (BCIs) for affect recognition

The term affective is a psychological concept referring to the experience of human emotion or feeling. Affective Brain-Computer Interfaces (aBCIs) can be defined as a human affect estimation system from brain signals using BCIs.