  Automatic group emotion recognition plays an important role in understanding
complex human-human interaction. This paper introduces, Emolysis, a
Python-based, standalone open-source group emotion analysis toolkit for use in
different social situations upon getting consent from the users. Given any
input video, Emolysis processes synchronized multimodal input and maps it to
group level emotion, valence and arousal. Additionally, the toolkit supports
major mobile and desktop platforms (Android, iOS, Windows). The Emolysis
platform also comes with an intuitive graphical user interface that allows
users to select different modalities and target persons for more fine-grained
emotion analysis. Emolysis is freely available for academic research and
encourages application developers to extend it to application specific
environments on top of the existing system. We believe that the extension
mechanism is quite straightforward. Our code models and interface are available
at https://github.com/ControlNet/emolysis.
