  We develop an emotion recognition software for the use with a video
conference software for autistic individuals which are unable to recognize
emotions properly. It can get an image out of the video stream, detect the
emotion in it with the help of a neural network and display the prediction to
the user. The network is trained on facial landmark features. The software is
fully modular to support adaption to different video conference software,
programming languages and implementations.
