Intelligent user interfaces for SSVEP BCI

Intelligent user interfaces for SSVEP BCI

This project aims to use steady-state visually evoked potentials as input to a brain-computer interface (BCI) in order to control an augmentative and communication (AAC) device. The AAC will take advantage of intelligent user interface principles for adaptive display of speech synthesizer outputs, which can greatly speed up a user’s BCI end selection time.

Main personnel Sean Lorenz Funding:
Collaborators Jon Brumberg, Frank Guenther CELEST: Augmentative and alternative communication devices using electroencephalography-based brain-computer interfaces