INDUX-R
INDUX-R Project
| CORDIS Reference | Start date | End date | Coordinator |
|---|---|---|---|
| https://cordis.europa.eu/project/id/101135556 | 01/01/2024 | 31/12/2026 | ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS / GREECE |
Project description
In an intriguing historical twist, Joseph von Fraunhofer’s once-secret optics work contrasts with today’s dominance of non-European players in industrial extended reality (XR). With this in mind, the EU-funded INDUX-R project aims to revolutionise Europe’s XR industry. Facing fragmentation and investment challenges, INDUX-R proposes a human-centric XR ecosystem, empowering users and fostering innovation. It focuses on core XR technologies and addresses multi-user challenges with scalable 5G architecture and secure IoT networks. With diverse applications from event planning to virtual medical training, INDUX-R emphasises user involvement and ethical development, aligning technological progress with European values. By bridging scientific breakthroughs and real-world needs, INDUX-R aims to reshape European industries and societal norms.
Project outputs
Publications
| Domain | Type of output | Title | DOI URL |
|---|---|---|---|
| AI, Machine Learning & Data Science | Peer reviewed articles | Time-Series Forecasting in Industrial Environments: A Performance Study and a Novel Late Fusion Framework | https://doi.org/10.1109/JSEN.2025.3526362 |
| Audio, Speech & NLP | Conference proceedings | INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition | https://doi.org/10.21437/INTERSPEECH.2024-97 |
| Audio, Speech & NLP | Conference proceedings | Enrolment-based personalisation for improving individual-level fairness in speech emotion recognition | https://doi.org/10.48550/ARXIV.2406.06665 |
| Audio, Speech & NLP | Peer reviewed articles | Audio Enhancement for Computer Audition—An Iterative Training Paradigm Using Sample Importance | https://doi.org/10.48550/ARXIV.2408.06264 |
| Computer Vision, 3D Modeling & Rendering | Peer reviewed articles | Overcoming occlusions in AR, via multi-view, real-time 3D human pose estimation | https://doi.org/10.1007/S00138-025-01783-9 |