Modelado 3D y Realidad Virtual: Cómo ver lo que antes no podíamos imaginar. Por Bruno R. G., Inés M. A. y Henar G. S.
Tercer Premio del VIII Concurso de Artículos de Divulgación Científica de la UBU
Ya lo puedes leer en #BlogUBUinvestiga:
👉https://t.co/c1Tcbw7bSp
Our colleague Ines Miguel Alonso, in collaboration with Anjela Mayer (IMI research team at the Karlsruhe Institute of Technology in Germany) and Kevin Kastner (University of Mannheim, Germany), has won the Best Concept award at the DIVR Science Awards with the EduAvatars project
Additionally, if the second user has questions, they can record them and send them to the first user, who can respond individually. This asynchronous interaction optimizes feedback and the educational process.
These two projects were funded by the University of Burgos in the 11th Edition of the Proof of Concept Call. Thanks to this initiative, we were able to purchase the necessary resources and create a brand for each project to promote them.
We have developed an app to help young people reduce symptoms of anxiety: PMR Virtual Training. This app trains them in Progressive Muscle Relaxation using Immersive Virtual Reality
https://t.co/oVTUbV1F1O
We have also developed Virtual Risk Prevention, a Virtual Reality adaptive system powered by Artificial Intelligence aimed at improving training in occupational risk prevention
https://t.co/KFam91C5dO
The blogs for the VII Scientific Outreach Article Contest at the University of Burgos have been published. XRAI Lab participated with an engaging blog on biofeedback. You can read it here: https://t.co/4Ir4uSDim4
The software is specifically designed for use in virtual restoration processes of cultural heritage, though it is also compatible with other similar workflows.
Our colleague Bruno Rodríguez García presented the paper “A tool for the analysis and Virtual Reality visualization of the virtual restoration of Cultural Heritage 3D models” at the XR Salento 2024 conference.
This research introduces software designed to implement discrepancy analysis of 3D models within Blender and export the results as heatmaps compatible with other development engines and technologies, such VR.
In this lecture he presented the results of the use of DE Transfer Learning algorithms to this industrial task, a result that is part of the HumanAID and REMAR projects.
Our colleague Andrés Bustillo has given the closing Guest Lecture of the XR Salento 2024 congress titled: “Machine Learning integration in Virtual Reality environments: present and prospective future”.
There he has presented the exciting future of the use of Machine Learning techniques in VR environments to achieve its adaptation in real time to the situation and knowledge of the user.