Developing emotion recognition for video conference software to support people with autism
This addresses the challenge of emotion recognition for autistic individuals in video calls, but it is incremental as it applies existing neural network methods to a new application domain.
The researchers developed a modular emotion recognition software for video conferencing to assist autistic individuals by detecting emotions from facial landmarks using a neural network and displaying predictions to users.
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.