Pegah Abbassi
Papers
1
Total Citations
18
H-Index
1
About
Pegah Abbassi is a researcher at the forefront of medical extended reality (XR) and human-computer interaction, with a primary focus on advancing tracking technologies for immersive training and rehabilitation. Her most cited work, "Static and Dynamic Accuracy and Occlusion Robustness of SteamVR Tracking 2.0 in Multi-Base Station Setups" (2023, 18 citations), systematically evaluates the precision and reliability of consumer-grade SteamVR tracking for medical applications. By benchmarking its performance against expensive professional systems, Abbassi demonstrates that cost-effective solutions can meet the stringent accuracy demands of practical medical training and patient rehabilitation. This contribution is pivotal for democratizing access to high-fidelity tracking in clinical and educational settings. Her research addresses critical challenges in occlusion robustness and dynamic accuracy, directly impacting the design of more accessible, scalable XR systems. Through rigorous empirical analysis, Abbassi bridges the gap between affordable commercial hardware and the rigorous requirements of healthcare, enabling wider adoption of immersive technologies for skill acquisition and therapy. Her work stands as a key reference for researchers and practitioners seeking to deploy reliable, low-cost tracking solutions in medical XR.
Research Focus
Key Achievements
Top Papers
- 1