xR4DRAMA

Extended Reality For DisasteR management And Media plAnning

The EU-funded xR4DRAMA project aims to create a solution that will improve the situational awareness of those user groups who are responsible for handling disasters, man-made crises or public events. The groups range from first responders, local authorities and security forces to media companies and event planners. Situational awareness is crucial for them to execute tasks efficiently, plan things and take the appropriate decisions.

The proof of concept of this project will focus on first responders and media companies before extending the use cases to other domains. xR4DRAMA’s methodology is based on X Reality (XR) technologies, and the tool can be used remotely and on site for an augmented and shared perception of a given situation. In particular, innovative technologies will be developed in order to:

  • facilitate the sourcing of all relevant information needed to plan necessary actions;
  • create an „as if on site“ experience of an environment (e.g. in VR) to anticipate the planned event or an incident as thoroughly as possible;
  • create a joint understanding of an environment (a “distributed situation awareness”) to be shared by team members, allowing for smoother communication and consultation;
  • provide the possibility to continuously update the representation of the location (e.g. in VR) during the evolving incident/event so as to understand and potentially re-assess consequences of specific decisions.

M4D as a team of the Centre for Research and Technology Hellas (CERTH), Greece, coordinates the project with seven universities and companies from four different countries.

PUBLICATIONS

  1. A. Vassiliades, Alexandros, G. Stathopoulos-Kampilis, G. Antzoulatos, S. Symeonidis, S. Diplaris, Sotiris, S. Vrochidis, N. Bassiliades, I. Kompatsiaris, "XR4DRAMA a knowledge-based system for disaster management and media planning", The Knowledge Engineering Review, vol. 39, e1, 2024, Cambridge University Press OPEN ACCESS
  2. V.-R. Xefteris, M. Dominguez, J. Grivolla, A.Tsanousa, F. Zaffanela, Μ. Monego,S. Symeonidis, S. Diplaris, L. Wanner, S. Vrochidis, I. Kompatsiaris, “A Multimodal Late Fusion Framework for Physiological Sensor and Audio-Signal-Based Stress Detection: An Experimental Study and Public Dataset,” Electronics, vol. 12, no. 23, p. 4871, Dec. 2023. doi: 10.3390/electronics12234871. OPEN ACCESS
  3. Symeonidis, S., Samaras, S., Stentoumis, C., Plaum, A., Paccelli, M.,Grivolla, J., Shekhawat, Y., Ferri, M., Diplaris, S. & Vrochidis, S. (2023). "An Extended Reality system for situation awareness in flood management and media production planning", Electronics,2023, 12(12), 2569; https://doi.org/10.3390/electronics12122569 OPEN ACCESS
  4. Vassiliades, A., Symeonidis, S., Diplaris, S., Tzanetis, G., Vrochidis, S., Bassiliades, N. & Kompatsiaris, I., (2022). "XR4DRAMA Knowledge Graph: A Knowledge Graph for Disaster Management". In Proceedings of: 17th Internation Conference on Semantic Computing (ICSC), 1-3 February 2023, The Hills Hotel, Laguna Beach, California,USA. OPEN ACCESS
  5. V.R. Xefteris, A. Tsanousa, S. Symeonidis, S. Diplaris, F. Zaffanela, M. Monego, M. Pacelli, S. Vrochidis, I. Kompatsiaris, "Stress detection based on wearable physiological sensors: laboratory and real-life pilot scenario application.", SIGNAL 2023 Editors. 2023 Mar 13:14. OPEN ACCESS
  6. V.R. Xefteris, A. Tsanousa, T. Mavropoulos, G. Meditskos, S. Vrochidis, I. Kompatsiaris, Human activity recognition with IMU and vital signs feature fusion. In Proceedings of the 28th International Conference on Multimedia Modelling (MMM2022), Phu Quoc, Vietnam, June 6–10, 2022, Pages 287–298. DOI: https://doi.org/10.1007/978-3-030-98358-1_23.
  7. A. Vassiliades, S. Symeonidis, S. Diplaris, G. Tzanetis, S. Vrochidis and I. Kompatsiaris, “XR4DRAMA Knowledge Graph: A Knowledge Graph for Media Planning”, in Proceedings of: 15th Internation Conference on Agents and Artificial Intelligence (ICAART), 22-24 February 2023, Lisbon, Portugal. OPEN ACCESS
  8. S. Symeonidis, S. Diplaris, N. Heise, T. Pistola, A. Tsanousa, G. Tzanetis, E. Batziou, C. Stentoumis, I. Kalisperakis, S. Freitag, Y. Shekhawat, R. Paradiso, M. Pacelli, J. Codinak, S. Millek, M. Marimonk, M. Ferri, D. Norbiato, M. Monego, A. Karakostas and S. Vrochidis, "xR4DRAMA: Enhancing situation awareness using immersive (XR) technologies". In 2021 IEEE International Conference on Intelligent Reality (ICIR), Piscataway, NJ, USA, 2021, pp. 1-8. https://doi.org/10.1109/ICIR51845.2021.00010