We present eRS, an open-source system whose purpose is to facilitate the workflow of emotion recognition in movies, released under the MIT license. The system consists of a Django project and an AngularJS web application. It allows to easily create emotional video datasets, process the videos, extract the features and model the emotion. All data is exposed by a REST API, making it available not only to the eRS web application, but also to other applications. All visualizations are interactive and linked to the playing video, allowing researchers to easily analyze the results of their algorithms. The system currently runs on Linux and OS X. eRS can be extended, to integrate new features and algorithms needed in the different steps of emotion recognition in movies.

The goal of the system presented in this demo is to make possible for the visually and hearing impaired audience to live empathetic viewing experiences using their home theatre. In this work we suggest the incorporation of new emotion communication modalities into the standard television, to provide the targeted audience with sensations that they do not have the opportunity to enjoy because of their disability.