  In this paper we explore predicting facial or lip video features from
electroencephalography (EEG) features and predicting EEG features from recorded
facial or lip video frames using deep learning models. The subjects were asked
to read out loud English sentences shown to them on a computer screen and their
simultaneous EEG signals and facial video frames were recorded. Our model was
able to generate very broad characteristics of the facial or lip video frame
from input EEG features. Our results demonstrate the first step towards
synthesizing high quality facial or lip video from recorded EEG features. We
demonstrate results for a data set consisting of seven subjects.
