Special Sessions
AI-driven Brain-Computer Interfaces (BCI) with VR/AR: Current Innovations and Future Directions
Organizers: Athanasios Vourvopoulos (Universidade de Lisboa, Portugal), Serafeim Perdikis (University of Essex, UK), Silvia Orlandi (Università di Bologna, Italy)
Abstract: This special session aims to explore the cutting-edge intersection of AI-driven neurotechnologies, specifically focusing on Brain-Computer Interfacing (BCI) and its integration with Virtual and Augmented Reality (VR/AR). Attendees will delve into the latest research and technological advancements in this rapidly evolving field. The session will highlight practical applications of AI-driven BCI in VR/AR environments, showcasing how these technologies can create more immersive and responsive experiences.
Discussions will cover a range of topics, including potential future developments and the ethical considerations surrounding the use of BCI and AI in VR/AR. Experts will examine the transformative impact of these technologies on various industries, such as healthcare, where they can aid in rehabilitation and therapy; gaming, where they can offer more immersive and interactive experiences; education, where they can enhance learning through immersive simulations; and productivity, where they can improve efficiency and creativity.
Further, this session will explore how these technologies can revolutionize user interactions and experiences. Whether you're a researcher, developer, or enthusiast, this session provides a unique opportunity to understand the synergy between AI, BCI, and VR/AR, and their potential to transform various aspects of our lives."
Creating and Updating Digital Twins for Enabling XR Applications
Organizers: Werner Bailer (Joanneum Research, Austria), Gerasimos Arvanitis (University of Patras, Greece), Imad H. Elhajj (American University of Beirut, Lebanon), Panos K. Papadopoulos (CERTH, Greece), Tariqul Islam (DigitalTwin Technology, Germany)
Abstract: Digital twins of city spaces, landmarks or industrial environments are important enablers of VR and AR applications in domains such as city planning and maintenance, tourism, media, manufacturing and logistics. Creating high fidelity representations of the real world, and in particular keeping them up-to-date, is still a costly process. Leveraging data that can be captured at low cost, e.g. from vehicles driving through the space to be captured, from robots navigating in the environment, or from consumer media, could significantly reduce the costs and allow for the detection of changes and more frequent updates of digital twins. AI-based methods for 3D reconstruction and scene understanding are enablers for this process.
Website: https://didymos-xr.eu/news/creating-and-updating-digital-twins-for-enabling-xr-applications/