Roth D., Westermeier F., Brübach L., Feigl T., Schell C., Latoschik M. E.:
In: Mensch und Computer – Workshopband, Hamburg Germany, 2019.
The perception and expression of emotion is a fundamental part of social interaction. This project aims to utilize neuronal signals to augment avatar-mediated communications. We recognize emotions with a brain-computer-interface (BCI) and supervised machine learning. Using an avatar-based communication interface that supports head tracking, gaze tracking, and speech to animation, we leverage the BCI-based affect detection to visualize emotional states.