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CORDIS - EU research results
CORDIS

Leveraging the European XR industry technologies to empower immersive learning and training

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

XR2Learn Marketplace, IPR tools and platform (opens in new window)

This is the software code of the marketplace (including the on-demand part) and the IPR tools accompanied by the relevant specifications and use guidance. The deliverable is updated on month 30.

XR2Learn Marketplace, IPR tools and platform (v2) (opens in new window)

This is the updated version of the software code of the marketplace (including the on-demand part) and the IPR tools accompanied by the relevant specifications and use guidance.

XR2Learn enablers (v2) (opens in new window)

This is the updated version of the software of the XR2Learn enablers which will be accompanied by documentation as an outcome of task 3.2.

XR2Learn technical support services (v1) (opens in new window)

This is the outcome of tasks 3.3 and 3.4 reported in two different time points in the project lifetime. This is the first version.

XR2Learn beacon applications (opens in new window)

This is the software of the beacon applications which is going to be demonstrated to external audiences (output of task 3.1).

XR2Learn enablers (v1) (opens in new window)

This is the software of the XR2Learn enablers which will be accompanied by documentation as an outcome of task 3.2.

Ecosystem activities and business support services (v2) (opens in new window)

This document updates D2.1 and reports the work carried out in tasks 2.1 and 2.2 up to month 16.

Open call documentation, reports and analytics (opens in new window)

Output of task 4.1 and comprises the information needed for the applicants to submit such as the Guidelines for Applicants, application form, and documents templates, and the FAQs. The deliverable will be updated on month 22.

Dissemination, Exploitation, Communication Plan (opens in new window)

This is the outcome of tasks 5.1 (developing the PDCER early on in the project) and 5.2 reported in three different time points in the project lifetime. The deliverable will be updated on months 18 and 30.

XR-application delivery programme (opens in new window)

Output of task 4.2 reporting the statistics of the first open call (ensuring that the T4.1 guidelines are met) and the results from the relevant evaluations and reviews.

Dissemination, Exploitation, Communication Plan (v3) (opens in new window)

The deliverable updates D5.2 with the outcome of tasks 5.1 (developing the PDCER early on in the project) and 5.2 reported in three different time points in the project lifetime from M18 up to M30.

Ecosystem activities and business support services (opens in new window)

This document reports the work carried out in tasks 2.1 and 2.2. Updated on months 16 and 42.

Data Management Plan (opens in new window)

The data management plan of the project. Any updates will be included in the Periodic Project Reports (PPRs).

Open call documentation, reports and analytics (v2) (opens in new window)

This document updates D4.1 with the of output of task 4.1 up to M22. It comprises the information needed for the applicants to submit such as the Guidelines for Applicants, application form, and documents templates, and the FAQs.

Dissemination, Exploitation, Communication Plan (v2) (opens in new window)

The deliverable updates D5.1 with the outcome of tasks 5.1 (developing the PDCER early on in the project) and 5.2 reported in three different time points in the project lifetime from M6 up to M18.

Publications

Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations (opens in new window)

Author(s): Bulat Khaertdinov, Pedro Jeruis, Annanda Sousa, Enrique Hortal
Published in: Interspeech 2024, 2024, ISSN 2958-1796
Publisher: ISCA
DOI: 10.21437/INTERSPEECH.2024-860

XR4HRC Project: Training and Evaluation Approaches for Human-Robot Collaboration with Extended Reality

Author(s): Yunus Emre Esen, Uğur Yayan, Kübra Yayan, Berk Kaan Çetincan
Published in: ICETOL 2024 conference proceedings, 2024
Publisher: ICETOL

Emotion Recognition in Adaptive Virtual Reality Settings: Challenges and Opportunities

Author(s): Mousavi, S. M. H., Khaertdinov, B., Jeuris, P., Hortal, E., Andreoletti, D., Giordano, S.
Published in: Proceedings of the Workshop on Advances of Mobile and Wearable Biometrics (WAMWB 2023) co-located with ACM International Conference on Mobile Human-Computer Interaction 2023 (MobileHCI 2023), Issue 3517, 2023, ISSN 1613-0073
Publisher: CEUR Workshop Proceedings

The V-Lab VR Educational Application Framework: A Beacon Application of the XR2Learn Project (opens in new window)

Author(s): Vasilis Zafeiropoulos, George Anastassakis, Theofanis Orphanoudakis, Dimitris Kalles, Anastasios Fanariotis, and Vassilis Fotopoulos
Published in: MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, Issue 2023, 2023, ISBN 978-1-4503-9924-1
Publisher: ACM
DOI: 10.1145/3565066.3608246

The Magic XRoom: A Flexible VR Platform for Controlled Emotion Elicitation and Recognition (opens in new window)

Author(s): Seyed Muhammad Hossein Mousavi, Matteo Besenzoni, Davide Andreoletti, Achille Peternier, Silvia Giordano
Published in: MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, Issue 2023, 2023, ISBN 978-1-4503-9924-1
Publisher: ACM
DOI: 10.1145/3565066.3608247

INTERACT: An authoring tool that facilitates the creation of human centric interaction with 3d objects in virtual reality (opens in new window)

Author(s): Rama Krishnan Gopal Ramasamy Thandapani, Benjamin Capel, Antoine Lasnier, and Ioannis Chatzigiannakis
Published in: MobileHCI '23 Companion: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, Issue 2023, 2023, ISBN 978-1-4503-9924-1
Publisher: ACM
DOI: 10.1145/3565066.3608250

A New Dimension of Learning: Exploring the Impact of XR4HRC on Training Efficacy

Author(s): Kübra Yayan, Yunus Emre Esen, Uğur Yayan
Published in: ERCIM News, Issue 137, 2024, ISSN 0926-4981
Publisher: ERCIM

Extended Reality - Introduction to the Special Theme

Author(s): Ioannis Chatzigiannakis, Holger Graf, Manos Kamarianakis, and Aris Lalos
Published in: ERCIM News, Issue 137, 2024, ISSN 0926-4981
Publisher: ERCIM

Proximity Machinery through Distributed Augmented Reality: Design for Training the Resilient Operator 5.0

Author(s): Alessandro Pollini, Tania Sabatini, Sara Traversari
Published in: ERCIM News, Issue 137, 2024, ISSN 0926-4981
Publisher: ERCIM

The XR2Learn Project Approach to Empowering Immersive Learning and Training Leveraging European XR Industry Technologies

Author(s): Ioannis Chatzigiannakis, Silvia Giordano, Theofanis Orphanoudakis
Published in: ERCIM News, Issue 137, 2024, ISSN 0926-4981
Publisher: ERCIM

Personalised, Context-Aware XR Training Applications Driven by Large Language Models

Author(s): George Fatouros, John Soldatos
Published in: ERCIM News, Issue 137, 2024, ISSN 0926-4981
Publisher: ERCIM

Smart Detection System of Safety Hazards in Industry 5.0 (opens in new window)

Author(s): Stavroula Bourou, Apostolos Maniatis, Dimitris Kontopoulos, Panagiotis A Karkazis
Published in: Telecom, Issue 5(1), 2023, ISSN 2673-4001
Publisher: MDPI
DOI: 10.3390/telecom5010001

XR-Driven Robotic System Training for Occupational Health, Safety, and Maintenance (opens in new window)

Author(s): Yunus Emre Esen, Berk Kaan Çetincan, Kübra Yayan, Hüseyin Güray Gürlek, Uğur Yayan
Published in: IEEE Access, Issue 13, 2025, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3556699

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