What we work on

VR and XR are moving from entertainment into training, health, and collaborative work. The minute an immersive system becomes safety- or business-critical, the fidelity of its sensing, pose, motion, scene geometry, turns into a security property. A digital twin that drifts a few centimeters off the ground is not just an animation glitch; it’s a trust problem.

The lab works on 3D pose estimation and ground-relative positioning that produces faithful, authenticatable digital twins of human motion. Our methods plug into off-the-shelf pose frameworks and recalibrate the character’s position against the real-world floor plane, so virtual characters interact with their environment realistically.

Where this is going

Beyond visualization fidelity, we’re interested in trustworthy XR sensing more broadly: sensor authentication for VR controllers, attack-resistant SLAM, and verifiable provenance for digital-twin recordings.

Publications in this area

  • ACTAUTH: Interaction-Triggered, Continuous User Authentication for Controller-Free Virtual Reality

    Haoran Li, Omar Achkar, George Zouridakis, Xin Fu, Kyu In Lee

    Accepted in IEEE International Conference on Cyber Security and Resilience (CSR) · 2026

  • Wearable EEG and Stand-Alone VR for Mobile Neurorehabilitation: A Cortical Comparison of Real, Virtual, and Simulated Upper-Limb Training

    Ahmad Achkar*, Omar Achkar*, George Zouridakis, Kyu In Lee

    Accepted in IEEE International Conference on Intelligent Mobile Computing (IMC) · 2026

  • EchoMark: Acoustic Environment Matching with Watermarked Room Impulse Response

    Chenpei Huang, Lingfeng Yao, Lening Wang, Lan Zhang, Xun Chen, Kyu In Lee, Miao Pan

    IEEE International Conference on Multimedia and Expo (ICME) · 2026

  • Mapping Extended Reality Threats in Connected Vehicles with Attack-Defense Tree

    Mujtabaa Adam, Muhammad Baqer Mollah, Kyu In Lee

    Accepted in IEEE International Conference on Consumer Electronics – Berlin (ICCE-Berlin) · 2026

← All research