Projects

The goal of this project is to integrate gaming contextual information (e.game type, game events, etc.) with physiological reactions of gamers to assess their emotions. This will be achieved by applying deep learning methods for semi-supervised emotion recognition and physiological signals denoising.

In this project, we propose AI-based and serious-game based solutions to provide guidance and training to HCPs to document precisely the characteristics, treatment and evolution of wounds.

With this project the partners will develop a new generation of emotion-enabled peripherals. It will deliver the first-of-its-kind real-time emotional monitoring system for game streaming, allowing for automatically augmenting exciting moments in live broadcasts or editing a digest video with such highlights.

The goal of this project is to build an anthropomorphic virtual character (ECA - Embodied Conversational Agent) able to make the best possible first impression on a user, thus effectively engaging him or her in an interaction.

In this project, we test the degree of emotional participation of the audience in film watching. How do viewers react to the sequences in a given movie that film critics and filmmakers consider as aesthetically successful and therefore emotionally relevant?

The project “Affective computing and emotion awareness in computer-mediated interaction” aims at developing emotion awareness tools (EAT) to improve the collaborative processes and outcomes of people working together through computers.