B-prepared
B-prepared Project
| CORDIS Reference | Start date | End date | Coordinator |
|---|---|---|---|
| https://cordis.europa.eu/project/id/101121134 | 01/10/2023 | 30/09/2026 | HUN-REN SZAMITASTECHNIKAI ES AUTOMATIZALASI KUTATOINTEZET / Hungary |
Project description
In case of a disaster, 'plan A' is that first responders arrive and save everyone. Until then, everyone needs a 'plan B'. Despite existing learning materials and disaster alert apps available to the public, neither those solutions nor traditional information campaigns significantly increased citizen preparedness, and live drills are extremely expensive. The EU-funded B-prepared project aims to teach disaster survival skills to European citizens. To that end, it will create a collaborative co-creation platform to collect learning materials, formulate curricula, perform cross-platform learning progress tracking, and deliver the learning content using virtual reality and gamification via the medium of a mobile app. The platform is open for content and game developers, projects, and other stakeholders via application programming interfaces.
Project outputs
Publications
| Domain | Type of output | Title | DOI URL |
|---|---|---|---|
| AI, Machine Learning & Data Science | Conference proceedings | Incremental Learning Through Fusion of Discrete Anomaly Models from Odometry Signals in Autonomous Agent Navigation | https://doi.org/10.1109/SIPS62058.2024.00023 |
| AI, Machine Learning & Data Science | Conference proceedings | Integrated Learning and Decision Making for Autonomous Agents through Energy based Bayesian Models | https://doi.org/10.23919/FUSION59988.2024.10706431 |
| Education, Training & Serious Games | Other | KI-gestützte Dialogsysteme in Serious Games als Trainingsumgebung für den Umgang mit Naturkatastrophen | https://doi.org/10.5281/ZENODO.15434476 |
| Extended Reality (VR/AR/MR) & HCI | Conference proceedings | Optimizing QoE for Virtual Reality Games on Mobile Edge Networks | https://doi.org/10.5281/ZENODO.15397069 |
| Robotics, Manufacturing & Industry 4.0 | Conference proceedings | Self-Supervised Path Planning in UAV-aided Wireless Networks based on Active Inference | https://doi.org/10.1109/ICASSP48485.2024.10446575 |