Towards a Virtual Assistant for Performers and Stage Directors

In this article, we present the first step of our research work to design a Virtual Assistant for Performers and Stage Directors, able to give a feedback from performances. We use a methodology to automatically construct fuzzy rules in a Fuzzy Rule-Based System that detects contextual emotions from an actor's performance during a show. We collect video data from a lot of performances of the same show from which it should be possible to visualize all the emotions and intents or more precisely “intent graphs”. To perform this, the collected data defining low-level descriptors are aggregated and converted into high-level characterizations. Then, depending on the retrieved data and on their distribution on the axis, we partition the universes into classes. The last step is the building of the fuzzy rules that are obtained from the classes and that permit to give conclusions to label the detected emotions.