Our projects are designing and developing innovative solutions addressing challenges proposed by SERMAS based on the needs identified when working on the pilots and developing the XR Agent and Toolkit or on new unforeseen trends.
Automatically Turning 2D Human Images into Animated Customizable Avatars with Emotions
This sub-project aims to design, develop and test 3Dify, a user-friendly and open-source web application to empower end-users to effortlessly convert 2D images into realistic 3D avatars requiring no technical skills in 3D modelling.
ALIVE aims to develop Empathic Virtual Assistants (EVAs) for customer support use cases. EVAs will be capable of recognising, interpreting and responding to human emotions, by applying state-of-the-art Deep Learning (DL) algorithms for vision, text, voice and wearable-based emotion recognition.
Multilingual Automatic Speech Recognition in noisy environments
This sub-project proposes an automatic speech recognition solution in the form of a web-based module, with an accessible API that exposes the necessary functionalities to be easily integrated in XR systems and different business software.
Privacy-Preserving Facial Recognition in Extended Reality
The sub-project is an initiative to address the critical need for protecting individual privacy and personal data in the evolving landscape of facial recognition technology with Extended Reality (XR) environments.