Imagine being able to experience a Broadway play or a professional dance performance from your living room as if you were there. This project uses smart cameras and virtual reality to capture the tiny details of a performer's movement and emotion. It's like creating a high-tech digital archive that lets anyone, anywhere, feel the energy of a live show.
Performing arts struggle to reach audiences beyond the physical theater and lack tools to digitally preserve the nuance of live human movement.
A digital ecosystem featuring AI for sentiment and movement analysis, VR streaming architectures, and performance capture protocols for body and facial motion.
If you are a streaming service dealing with low engagement for recorded arts — this project developed AI-powered audio and motion indexing that makes searching for specific performance moments easier for users. This increases the visibility of content for a global audience.
If you are a school dealing with the loss of historical performance data — this project developed 3D capture and Laban Movement Analysis tools that preserve nuanced human movement. This allows students to study past performances with high precision.
If you are a cultural venue dealing with accessibility barriers for elderly or disabled visitors — this project developed XR streaming specifications that bring the theater experience to those who cannot travel. This expands your reachable customer base.
Based on available project data, specific pricing for the software components is not listed, as the project was funded by a EUR 3,928,630 EU contribution.
The project developed a Technical Architecture for VR streaming and a comprehensive ecosystem of applications, suggesting it is designed for scalable digital delivery.
Based on available project data, licensing terms are not specified, but the project involves a consortium of 12 partners including 4 SMEs.
The project defined specific technical specifications for VR streaming and performance capture protocols for body and facial movement.
The project is active from 2022-10-01 to 2025-09-30.
The project is backed by a diverse 12-partner group across 6 countries. While it is research-heavy (with 3 research centers and 1 university), there is a significant commercial lean with 4 SMEs and 2 industry partners, resulting in a 17% industry ratio. This suggests a strong bridge between academic AI research and practical market application.
Contact ATHINA-EREVNITIKO KENTRO KAINOTOMIAS for technical architecture details.
Request a deep dive into the VR streaming specifications and AI motion analysis tools.
